Working at the interface of statistics with applied and computational mathematics

Tagged: SAMBa

Jyväskylä Summer School 2017

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📥  Statistical Applied Mathematics

I have always wanted to explore Scandinavia as I am fascinated by their arctic cultures and mysterious auroras. And SAMBa made my dream come true! My department advertised a post-graduate summer school in Finland, where students come together to study mathematics and other science subjects. So finally I got to experience what it’s like to be in a place norther than I have ever been.

I decided to pack light for the trip so I managed to squeeze 14 days’ worth of stuff into my normal backpack and whizzed off to Finland. I stayed in Helsinki for one night so that I could meet my penpal – and of course, warm my Finnish up before putting it in action.

I took a 3.5-hour long bus ride to Jyväskylä, a city in central Finland where the summer school was located. I rented a bike for commuting between the University and the accommodation, which was a very good idea as I got to see different parts of the city on my commute. The student accommodation I stayed in was very nice, although some of the facilities were strange. For example, the lift that takes you to the ninth floor has no door, so you could literally see the walls moving downwards as you go up. When I got to my flat, I was delighted that my room was bright and spacious, the theme was white and minimalistic. The kitchen had a peculiar Finnish invention – the dish drying rack is located above the sink, instead of beside it, so that the water drips directly downwards, this does actually save a lot of space.

My flatmate was called Roman, who was from Slovakia and taking the computer science courses at the summer school. He became my best friend there and we signed up for all the social programmes together.

The first lecture (Malliavin calculus) consisted of me trying to keep up with the pace of the presentation slides and writing every equation down. It was very enjoyable. During the break I tried to speak Finnish with some people, who were very surprised that I could, as nobody learns a language (especially a challenging one!) just for a summer school experience. They asked me how Finnish grammar works because apparently nobody in Finland knows how their own grammar works.

In the second lecture (Optimal Transport and Geometric Inequalities), there was a blind woman sitting in the front row who kept asking for clarification of what was written on the blackboard (whether the interval [0,infty) includes 0 or not etc.)  I was amazed at how someone can do mathematics without sight and how they can remember all the information just by ear. Since then, I have been working on improving my skill to talk about maths without a pen and paper, which I realised is very useful when you’re on the bus or at a dinner party with a fellow mathematician.

As part of the summer school there was also a social programme, which was extremely good. Almost every day, the summer school coordinators organised activities for us as a way of us networking and meeting other students: barbecuing Finnish sausages, biking around the lake, visiting art museums etc. Out of all these activities I’d like to talk about sauna. Sauna is probably the most well-known word in English that came from Finnish. On the Saturday we biked to Huviniemi to enjoy sauna at a summer house by the lake.

The sauna is a wooden room with a hot stove in the middle which heats the room to 80 degrees. You sit around it and occasionally throw some water onto it, after a few seconds you feel the hot steam steaming up your face. When you have had enough of sauna, you should run out and jump into the lake to cool yourself down, and then repeat this several times. To be fair I am not a big fan of hot places so I spent more time in the lake. Some people, however, said the lake was too cold and got out immediately. After sauna, we had a barbecue and ate some Finnish blueberry pies.

Aside from the summer school social programme, we also made our own social events. The best was hiking in a Finnish forest to pick mushrooms and berries with Roman, Emil (Danish) and Akseli (Finnish, from Tampere).  As I do not have the stomach of a goat, I did not eat them. It was good to have a Finn around as he knew how to identify Finnish mushrooms and berries. We had fun getting lost in the Finnish swamps and trying to find our way back home.

Finland can be summarised by three words: spacious, nature, simple. The country is quite sparsely populated, roads are wide, forests and lakes everywhere, and architecture design is minimalistic. Space allows mathematicians to think, to fill the void with meaning. I would definitely like to visit Finland again.


Building Links in Mongolia

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📥  Statistical Applied Mathematics

In late November 2016, 10 keen students and academics made the long journey to Ulaanbaatar, the capital of Mongolia, for a research trip aiming to build links between Mongolia and the University of Bath.

Upon arriving in temperatures reaching -30 degrees Celsius, a few wondered what they had let themselves in for. Even Andreas Kyprianou, who knew Mongolia well, had never visited before in winter and was a tad apprehensive.


Left: the long journey from Bath to Ulaanbaatar, involving a stop off in Beijing. Right: arriving at Chinggis Khaan airport in Mongolia.

The aim of the trip was to help develop the Mongolian industrial mathematics and statistics capability. It was hoped this would help the country form evidence-based policies that will drive economic, industrial and environmental development. A team from the University of Bath was hence formed of individuals that could help build collaborative links between policy makers in Mongolia to generate high impact research activity, and deliver a course in statistics to provide training for young academics and workers. This included representatives from SAMBa, the Statistics group, IMI, IPR, and four postgraduate students.

The course was primarily run by the postgraduate students and had a large amount of interest with hundreds of applications. A suitable venue was identified which allowed for 130 participants from Mongolia to attend. The material began with motivational examples of the use of statistical analysis such as the use of clustering methods on electricity usage data to better predict electricity demand. The participants were introduced to statistical software R, and shown how to use it for initial data analysis and data visualisation. The course moved onto methods for hypothesis testing including how to pick the right test for different types of data. It concluded with methods for linear regression and clustering. Many of the participants had their own data from academic or public sector projects, and a lot of queries related to importing and analysing this data.

On the first day of the course, a TV crew recorded a report for the state TV channel MNB. A 3-minute long segment involving interviews was broadcast on the news on 22nd November 2016. At the time of writing, the report is available to view on the MNB website (22:00 mins).

Given the language barrier, it was found necessary to speak relatively slowly, and pause for a translation after every phrase. This was useful in developing the skill to speak in a concise articulate way, and to avoid using serpentine sentence construction (which I for one was previously guilty of when giving talks!).

Logistical challenges arose including intermittent WIFI access due to the large amount of people in the course. This was countered by the downloading of relevant materials including R software and packages onto many memory sticks for circulation.

Delivering the course was an enjoyable and extremely beneficial experience for us. The participants of the course were extremely friendly and it was genuinely a joy to work with them.


Top left: Poster advertising the statistics course. Top right: Robbie Peck assisting a course participant with the installation of the relevant statistical software. Bottom: Aoibheann Brady, Matt Thomas, Robbie Peck, and Adwaye Rambojun preparing and delivering the statistics course.

The other half of the University of Bath team took the lead in meeting policy makers to build future potential collaboration links. This included representatives from the National University of Mongolia, and the Ministries of Health, Energy, National Strategy. This proved fruitful with many different leads for collaboration with academic and public sector projects.

One potential collaboration involved looking at air pollution and tuberculosis records within Mongolia. The burning of untreated coal to fuel the large heating cost in Ulaanbaatar meant that the PM10 concentration in the city was relatively high. A possible direction would be to fit a model to pollution levels across space and time to ‘fill in the gaps’ where there are not records. One could then cross reference this with the tuberculosis records to measure any association between air pollution levels and tuberculosis diagnoses. It is hoped research such as this will have weight in influencing public policy through the links established with the public-sector workers we met.

Furthermore, Professor Gavin Shaddick ran a workshop in air pollution which began with talks from academics from Bath and Mongolia. This then followed the style of a SAMBa Integrative Think Tank by having cross discipline group discussions to identify problems and research questions, and then short presentations about directions one would take to tackle them. For each problem, a contact in Mongolia was identified to be the catalyst for future work in that area.


Top left: Meeting at the Public Health Institute. Top right: Julie Barnett in a discussion during a workshop on Epidemiology and Public Health. Bottom left: Andreas Kyprianou working through some ideas during a workshop on Ecology. Bottom right: Meeting at the Economics Research Institute.

Once the week had finished, we celebrated all the new potential future collaborations with a Mongolian feast. The food was particularly delicious, involving large amounts of tender meat and traditional Mongolian salads and sides. To our new Mongolian friends, we said “Баярлалаа!”, and hope to return to Mongolia in 2017 to ensure the successful development of the ongoing collaborations and to perform further training courses.


My first conferences: A SAMBa story

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📥  Statistical Applied Mathematics

My first year at SAMBa has been quite an eventful one. I can definitely say that SAMBa has delivered on its promise to help me explore different areas of Mathematics. However, this post is not about maths at all (who are we kidding, it probably is), it rather concerns my experience of conference attendance. My very first one was a workshop on big models at the University of Warwick, which incidentally happens to be my undergraduate institution. The reason I went there was to see what the Institute of Data science was up to, and as expected, they were doing things that I was interested in. Statistics, applied mathematics, data science and machine learning.


Swisstech Convention Centre, Lausanne (courtesy of STCC)

My second conference was perhaps the most daunting one. In my quest to know more about uncertainty quantification (UQ), I took up a module with the local expert on it, Prof. Rob Scheichl. This led to the SIAM conference on uncertainty quantification in Lausanne. The venue was breathtaking, to say the least. It was in the Swisstech convention centre at the EPFL. I have never seen an auditorium with that much leg room during the plenary talks. To fund myself, I along with a fellow SAMBAlite, Gianluca, successfully applied for funding from MI-Net. Part of the deal of going there was to further inter university collaboration, and hence the day preceding the conference involved some informal chat with Fabio Nobile's research group. We exchanged ideas and research interests. The rest of the week involved us going to different sessions. They were quite daunting to be honest as most of the speakers were very, very good at what they did. This only increased my desire to actually start a research project and further my knowledge in a specialist area. The thing that I believe was most beneficial for me was to see the use of machine learning in UQ. This contributed to my decision to take up machine learning as my current research project as I could see that UQ would still be an option if I diverted away from it for a bit. I have to say though, my bilinguality helped a lot during the trip. I speak both French and English fluently, coming from a bilingual society (well, we're actually multilingual as most of us speak a third oriental language plus our local dialect, creole. Mauritius FTW right?).


Me, Gianluca and another SAMBa student Matt outside the conference in Lausanne

I went to my next conference after I had chosen my project (which is on automatic damage assessment in x-rays of Psoriatic Arthritis patients). It was a summer school on Gaussian Processes organised by the Machine Learning group at the University of Sheffield. It was the first year where they added the words "and uncertainty quantification" to it. I expected it to be full of computer scientists. To my surprise, the attendees were extremely diverse. There was an analytics team from formula 1; a guy working with Siemens (I think it was Siemens) on wind turbines; and wait for UQ lecturer from Warwick, Tim Sullivan (who is one of the most rigorous applied mathematicians I know) and my final year project supervisor, Mark Girolami. Uncertainty Quantification can mean many things! The summer school had practical sessions and talks from people who are very good at working with Gaussian Processes. One thing I got from the whole thing was that Gaussian Processes are used everywhere, from trying to optimise functions you cannot evaluate, to trying to fix the posteriors you get in Bayesian Inverse Problems. Is there a better alternative? Maybe. The search continues....


Antarctica as modelled using Markov Chain Monte Carlo, a key tool in Uncertainty Quantification (courtesy of the National Science Foundation)

The next conference I went to was very different from my two previous ones. It was actually one on Psoriatic Arthritis (PsA). No maths, just medical researchers and practitioners talking about, well, PsA. I did not get most of what was happening as they were talking about genes and things. They also mentioned "statistics" a lot of times. That was scary. I mean, really scary. When I asked them what kind of tests they were doing the answer was often "I don't know, I just press on a button in stata". It thus seemed to me that medical doctors in general need a better grasp of data science. Hence I tried to get some statistics training into their realm by suggesting we do a little session with consultants undergoing training. This was well received and it is hoped we can do it in the future during one of their training days.

You might be asking yourselves, how did you, a self proclaimed applied mathematician (please don't hate me, I know I did stats as a major) go to a medical workshop? Long story short: I was invited to a meeting in Bath on medical imaging, as I had now started working on this. There I met Prof. Neil McHugh, who works in pharmacology at the University of Bath. I mentioned my desire to know more about the PsA and he suggested I go there.

My English teacher always told me to put a concluding comment in my essays, and this is kind of an essay. The food at non-maths meetings, like the medical imaging one and the PsA one is way better. I had three course warm meals in both of them as opposed to the usual dried out sandwiches that repeat themselves n-times where n is the number of days the meetings stretch out for. Oh, and I'm writing this on a plane to Beijing where I transit before going to teach stats in Mongolia on SAMBa business. This one is for another time!


SAMBa's 2nd cohort impress with talks introducing their PhD projects

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📥  Statistical Applied Mathematics

Over two afternoons in October, our second cohort of students presented their research to the rest of the SAMBa cohort, staff from the Department of Mathematical Sciences and the wider University, and some of our external partners.  Topics presented ranged from Modelling of Host Parasite Dynamics (complete with increasingly disgusting pictures) to Random Walks in a Changing Environment (or how to get from the University to Combe Down via Po Na Na) and encompassed all aspects of the statistical applied mathematics portfolio.

aoibheann-1mb gianluca-1mb
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Above, clockwise from top left, are Aoibheann Brady, Gianluca Detommaso, Anna Senkevich and Adwaye Rambojun presenting their research.

Our new students, who are just beginning their MRes year, were in the audience and we even managed to get a photo of almost the entire SAMBa cohort 3 years in.


An impressive array of SAMBa hoodies

The transfer day talks presented a breadth of research from students working in collaboration with industrial partners on clinical trial design or medical imaging, to those with projects involving branching processes, applications of nucleation theory, and finite element methods for elliptic PDEs. The presentations were of an excellent standard and it is great to see how much our students have developed both in mathematical expertise and presenting skill over the last year. More details on all our SAMBa projects can be found on our website.

We are looking forward to seeing the progress of our research students and working with our 3rd cohort as they move through their MRes year. Watch out for their Transfer Day presentations this time next year!




Bridging “the gap” in Mongolian Mathematics: a Q&A with Andreas Kyprianou

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📥  Statistical Applied Mathematics

Mongolia is a country nestled between Russia and China, 6 and half times bigger than the UK but with a population 21 times smaller. It is the most sparsely populated country in the world (with 45% of the population living in the capital Ulaanbaatar). Mongolia has a rich history including the powerful rule of Genghis Khan, who created the Mongol Empire – the largest contiguous empire in history. But how much do you know about Mongolia in the present day? Have you been there? Do you know anyone who has? It seems somewhat a forgotten place, but recent activity from the University of Bath’s department of Mathematics aims to change that.

SAMBa co-director, Andreas Kyprianou has a long-standing relationship with Mongolia and now this is bearing fruit in terms of building a research base for the future. This relationship is growing even further and as that will have an impact on my job managing the SAMBa centre for doctoral training, and may even mean I get to visit Mongolia someday, I wanted to find out from Andreas how it all started and how he sees things developing in the future.


Andreas modelling various Mongolian outfits

Tell us a bit about yourself and your academic career.

I did my undergraduate studies in Oxford and moved to Sheffield for a PhD, graduating in 1996. After a brief stint as a temporary lecturer at the London School of Economics, I went to work for Shell as a Mathematician in their research laboratories in Rijswijk, The Netherlands. However, Shell was not for me so I left after about a year and a half, finding my way back to academia in late 1998.

After a short stint at the University of Edinburgh I was offered a five-year research fellowship back in the Netherlands, at Utrecht. A growing family brought me back to the UK in 2005 to Readerships at Heriot-Watt University, and then the University of Bath in 2006. I became a Professor in 2008.

Moving to Bath was a massive career boost. The probability group was in excellent shape and ready to grow. I enjoyed very much the aspirations of the Department and the University. We founded Prob-L@B (Probability Laboratory at Bath) in 2007, which has more than doubled in size in the last 10 years with a strong focus on doctoral and postdoctoral research infrastructure. This experience led me to taking up a role in bidding for the EPSRC funded CDT SAMBa. This was founded in 2014, and I now co-direct the centre.

When did you first travel to Mongolia? What made you decide to go?

I first went to Mongolia in 1998 after leaving Shell. Although things turned out well career wise, at that time it was unclear what lay beyond my resignation that summer. I recall handing in my security pass at Shell and going straight to the airport, from where I flew to China - not quite sure what would happen next! I travelled in China for a short while, but when I found that it was possible to catch a train to Ulaanbaatar from Beijing, nothing could stop me getting on that train. I still have memories of being a lone traveller on the night train to Ulaanbaatar and waking up at 6 a.m. to the wonder of seeing the Gobi Desert with wild camels running along the side of the track. At the same time, I was scared at what I would find in Ulaanbaatar. I knew nothing about this country and its people, beyond that it had undergone quite significant economic and social collapse since the fall of communism in 1990. However, from the minute I stepped off the train, I fell in love with Mongolia and I ended up staying quite a lot longer than expected.


The Beijing to UlaanBaator train (

How did your relationship with Mongolia develop over the years?

I have been married to a Mongolian for 16 years. I met her on the steps of the central post office in Ulaanbaatar the day before I left Mongolia that first time and now, many years later, we live happily with our three daughters in Bath. Because of this, Mongolia has become a big part of my life. Over the last 20 years, I have been back to Mongolia many times and have witnessed dramatic social and economic changes, both for my own extended family and also the Mongolian nation as a whole.

When did you first start working with the maths department at the National University of Mongolia (NUM)?

It was through my niece, who studied Mathematics and Economics at NUM. I visited her a few years ago, when she was in the middle of her masters’ studies, and she asked me to come and give some lectures and meet her teachers. It was then that I met several academics at the Department of Mathematics, including Tsogzolmaa Saizmaa (or Tsoogii). She described the plight of Mongolian mathematics to me. It was an impressive story and I learnt of the solid foundations of the mathematical community of Mongolia, supported by the old Soviet system, with good connections to Novosibirsk and Moscow. However, following the fall of communism, there was a “gap” in the continuum of expertise that now needs rebuilding. Having seen with my own eyes the difficulties that Mongolia has experienced, I quickly agreed to help Tsoogii and her colleagues to somehow put Mongolian mathematics back on the map.


Andreas with Tsoogii and his neice, Tungaa

So what did you do?

Together with a group of enthusiastic colleagues, both from Mongolia and other countries, I organised an enormous workshop on stochastic processes and applications. Although I met Tsoogii in 2012, it took until 2015 to get the necessary funding in place and to build the organisation necessary to hold such a large event. One of the central aims was to provide a panorama of modern topics in probability theory for the local audience. But the most beneficial and lasting outcome was the opportunity to create personal contacts between young Mongolians and the global community. We chose the theme of probability not just because both Tsoogii and I share an interest in this field of mathematics but also because NUM has a history of work in probability theory that dates back to the origins of the department in the 1940s. We raised nearly 60K Euros for the workshop and it was attended by around 120 individuals, the majority of which were students, from 20 countries.

Tsoogii is joining SAMBa on a Schlumberger Foundation fellowship in 2016, can you describe how that came about?

Tsoogii was a top student and, when graduating from her Masters some years ago, she was very keen to pursue a PhD in probability theory. This was at a time that Mongolia was going through significant economic difficulties and opportunities in Mongolia were few and far between. At this time, her husband was offered a scholarship to study for a PhD in Korea and she went with him. Unfortunately, she was not able to get a scholarship to do a PhD in Mathematics in Korea but, not wanting to waste her time there, she accepted a scholarship to do a PhD in computing science alongside her husband. When they returned to Mongolia, Tsoogii took up a position in the Department of Mathematics which she has held since 2010. However, her dream of pursuing research in probability theory remained. Hosting the SAMBa Centre for Doctoral Training meant that we could give Tsoogii the opportunity to pursue a PhD in this field here in Bath. However, funding students from outside of the EU to undertake a PhD is not easy. Luckily we discovered the Schlumberger Faculty for the Future fellowship scheme which supports women from developing countries to undertake a PhD abroad with the aim that they return to their home countries to build up research groups. This was an absolutely perfect fit for Tsoogii! Sure enough, from a competitive field of over 1000 applicants, she was one of 49 fellows awarded funding. This means that Tsoogii can now address both her personal ambitions; to get a PhD in probability theory and to ensure the continuation of probability theory in Mongolia. We are super excited about welcoming her to SAMBa in September and look forward to helping her to realise these goals.

What have you enjoyed about working with NUM?

Mongolia is a very remote country. Nonetheless, there is a generation of younger Mongolian mathematicians who are very aware of developments in the rest of the world and don’t want to miss out. It’s often easy to forget how privileged we are in the West, and the opportunities we take for granted so it is great to be able to share some of those opportunities with researchers at NUM. It’s wonderful to support young people who are prepared to work really hard to achieve their goals.

National University of Mongolia

The National University of Mongolia

How do you see Mongolian mathematics growing in the future?

Globalisation is generally accepted as a good thing for scientific research and Mongolia provides an ideal example of a country that could benefit significantly from increased connectivity, building on the opportunities afforded by the internet and social media. I believe that Mongolian mathematicians can form closer ties with their counterparts around the world, and take advantage of the many opportunities that exist in terms of doctoral and postdoctoral training. Tsoogii returning to Mongolia with a SAMBa PhD should have real impact in helping to deliver this.

There are many research opportunities in Mongolia that align with our research agenda in Bath and more widely in the UK. As with many countries and institutions, Mongolians are increasingly finding that they have an abundance of data which could be used to answer substantive questions, and inform policy decisions, across a number of fields. The foundation for interaction is now established and I am now working jointly with SAMBa and the Bath Institute for Mathematical Innovation (IMI) to initiate a number of collaborative projects.

The director of the IMI, Jonathan Dawes, has recently visited Mongolia and met researchers at NUM. Since his visit, Jonathan and I have worked closely with Gavin Shaddick (deputy director of IMI and co-director of SAMBa) to identify some very clearly defined projects in data science and statistics, focusing on air pollution, healthcare, agriculture and mining. These projects ensure there will be a building of Mongolian research capacity and will enable growing confidence in manipulating big data. They will provide a springboard to working collaboratively with Mongolian mathematicians and scientists, whilst developing a wider programme of future research and lasting collaboration. I hope that in the future we will see the delivery of real life impact on local communities from these interactions.

What are your favourite things about Mongolia?

The people, fermented horse milk, and eating dumplings in small little cafes; preferably all three combined.

Tell us something we probably don’t know about Mongolia.

Mongolia sent a man into space in 1981. Jügderdemidiin Gürragchaa spent a total of 7 days, 20 hours and 42 minutes in space on the Soviet Salyut 6 space station.


Mathematicians meet the Health Industry - SAMBa ITT4

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📥  Statistical Applied Mathematics

I am starting my PhD research at the interface of probability and analysis, which you might think is quite far removed from industrial applications.

So did I, until I participated in SAMBa ITT4.

In June, we students, along with academics from Bath and around the world came together with representatives from our industrial partners, the pharmaceutical company AstraZeneca and the NHS's Royal National Hospital for Rheumatic Diseases (RNHRD), for an intensive week-long workshop. The workshop is one of SAMBa's Integrative Think Tanks (or ITTs), which are highlights of the SAMBa Programme:

ITTs are ‘big events’, focal points in the calendar of SAMBa activity, and central to its goals. ITTs are facilitated workshops in which academic, industrial, and other external partners present problems requiring research solutions, with lectures on relevant background given by experts. Students are expected to define routes to the solution of these problems, identifying the new research that will be necessary to make this possible.

Representatives from both partners came to Bath in advance of the ITT to brief us on the work that they do and the problems that they are facing. These visits were a part of our Student Led Symposia, which you can read more about in Owen's blogpost. It was clear that both partners were working in exciting application areas, including developing personalised medication and improving the efficiency of clinical trials. At this point, however, none of the problems jumped out to me from a mathematical point of view. Once we got to the ITT I was proven wrong.

Students, academics and industrialists at SAMBa ITT4


The mix of people in the room generated lively discussion on the problems at hand and a huge range of ideas from all areas of mathematics were put forward to tackle them. Once the scattered ideas had been brought together into coherent groups, I decided to tackle one of AstraZeneca's problems: optimising the process of designing drugs. This seemed to be a problem in medical statistics, quite far from my own research interests, but I was quite happy to try working in a new area for a few days, as I had enjoyed doing at ITT3.

However, once we got into the problem, we found that it could be considered as a stochastic optimisation problem bringing this close to my own area of interest, and not too far from my proposed PhD topic. In fact, an undergraduate student is now doing further research along these lines over the summer, and we hope to pursue this further in the future.

The chance to work on an interesting industrial problem was not the only highlight of the ITT for me. Mathematics is often thought of as a solitary activity, but the ITT really encourages teamwork. The working groups which form allow students to work together with leading academics and experienced industrial partners - a really exciting and productive collaboration. Combined with regular coffee breaks, a dinner and plentiful after work drinks, this week was a brilliant opportunity to get to know new people from academia and industry alike.

So all in all, I found the ITT to be a fantastic experience, resulting in an insight into working with industry, lots of new acquaintances, and possibly even an industrial application for my research.


What is a Student-Led Symposium?

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📥  Statistical Applied Mathematics

It's perfectly reasonable that if you and I bumped into each other, part of our conversation would go something like this:

Me: "I'm co-organising the SAMBa Student-Led Symposium this semester."

You: "What's that?"

Me: "Well..."

So, the SAMBa Student-Led Symposium (or SLS) - what is it?

The SLS is a seminar/workshop organised by SAMBa students, where we get to do pretty much whatever we want (within the boundaries of mathematics and statistics). It also helps us prepare for the Integrative Think Tanks (ITTs) that happen at the end of each semester (for more on what the ITTs are like, see here.)

Rather than attempt to explain this further, I'll give you some examples of what's happened this semester.

In the SLS, we've had:

Workshops from students


Robbie Peck gave us a primer on clinical trials. Pictured is his `Low-Hanging Fruit of Medical Research'.

`Meta' maths talks


Euan Spence gave us a talk on How to Give a Good Maths Talk. Pictured is his `Inverse Problem' of maths talks.

Maths Workshops from academics


Chris Jennison told us about decision theory and joint clinical trials and Neill Campbell showed us how your phone makes those panorama pictures. Pictured is part of Chris' explanation of decision theory - based on what the weather forecast says, should you take your umbrella?

`Non-maths' workshops


Jack Betteridge and I did an introduction to Unix workshop. Eike Mueller gave us some sessions on the version control software Git. Pictured is what happens if you use the `rm' command in Unix recklessly.

Visits from Industrial Partners


Dr Will Tillet (from the RNHRD in Bath) asked whether we could speed up scoring the X-rays of Psoriatic Arthritis patients and Dr Alun Bedding (from AstraZeneca) explained how he wants to revolutionise the drug development process. Pictured is Alun talking about drug development at ITT4.

Talks from all of the SAMBa Cohort


We all gave critical talks on papers we'd read. Pictured is Adwaye Rambojun giving us a talk in semester one about Random Forests.

So, what is a Student-Led Symposium?

We've aimed at it being a discussion/seminar/workshop with a variety of topics - ask the rest of the SAMBa cohort if it's worked!