The SAMBa team understands how to efficiently bridge the gap between the abstract world of mathematics and statistics to industrial research
Before I joined SAMBa in 2014, I did a BSc and MSc in (pure) Mathematics at the University of Munich (LMU).
My PhD was jointly supervised by Johannes Zimmer in the Maths department and Robert Jack in Physics. Part of our work focused on understanding fluctuations in non-equilibrium systems, where we in particular identified non-linear relations between fluxes and forces for finite state Markov chains, which generalized well understood liner relations, as they are e.g. known for classical (non-interacting) Brownian Motion. We also worked on acceleration of convergence to steady states by breaking detailed balance, as well as large scale limits (hydrodynamics limits) of interacting particle systems.
After graduating in 2018, I joined a deep tech startup as a Data Scientist. We are developing novel methods and are building products for forecasting time series. My job title is Data Scientist and my current work consists of a mix of software engineering and applied research. I spend a fair share of my time reading statistical and machine learning papers related to causality, time series, dynamical systems, generative modelling…
I found the bi-annual ITTs very useful to get a better understanding of industrial research. I am also still drawing on insights generated from many of the courses that were taught during the initial MRes year, such as Numerical Linear Algebra and Applied Statistical inference.
The SAMBa team understands how to efficiently bridge the gap between the abstract world of mathematics and statistics to industrial research.
The four year programme yields great opportunities for anyone who wants to work on mathematical and statistical problems with real world impact, or considers a future research focused career in industry.
I really valued the experience of being part of a cohort of students in SAMBa, which guaranteed that we were not doing our PhDs in isolation, despite working intensively on independent projects
My experience in SAMBa shaped me as a versatile researcher with the ability to use maths to make an impact.
I can't imagine studying for my PhD anywhere other than SAMBa
SAMBa’s most remarkable feature is the variety of study options it offers
I was able to use the SAMBa training in statistics, to support training workshops in Mexico and in fact took a break from my PhD to take on a statistics teaching assistant role.
Shortly after joining SAMBa I broke my neck in a bicycle accident. But thanks to the support from the amazing team, I was still able to make a success of my PhD. The SAMBa environment surrounds you with wonderful people and fantastic opportunities.
Being part of SAMBa is like being part of a little community: everyone is super supportive and there is always someone to talk to if you need it (usually with cake!).
You get a lot of freedom to choose your research area...and there is a wide range of research areas within the department from which to choose
SAMBa exposes students to a wide range of cutting edge statistical and mathematical research that will be useful to them in their PhD and later career
I found the one-on-one reading courses an incredible opportunity to both learn about a topic in detail, and to get to know a potential area and supervisor before starting my PhD
