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.
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.
SAMBa provided a uniquely supportive yet challenging environment, in which one is encouraged to explore their interests and question their limits
I enjoyed the big portfolio of opportunities I was given, which I believe is an essential property of SAMBa and something which truly makes the programme worth it
SAMBa’s most remarkable feature is the variety of study options it offers
I joined thinking I wanted to do one type of PhD but ended up doing a completely different one due to the flexibility that was provided in finding/forming a PhD during the masters year
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
(My supervisors) encouraged me to take my own research direction, guided by my interests, and to be involved in the wider community, presenting at and attending a wide range of national and international conferences
My experience in SAMBa shaped me as a versatile researcher with the ability to use maths to make an impact.
Being a part of SAMBa was a great way to broaden my research interests and to apply this knowledge to cross-displinary problems
