Summary
Samuel Kessler is a machine learning researcher with 11 years of experience, currently at Microsoft after completing a PhD in ML at Oxford. His work sits at the intersection of ML and medicine, with practical experience reducing ASR training data by 10% at Amazon and applying continual learning to self-supervised speech at Huawei. He has interned on few-shot ego-centric action recognition at Meta and published data-driven analyses during a stint at ETH Zurich, showing a blend of theoretical rigor and applied impact. Comfortable moving from C++/Fortran tools for lab physics to modern ML research, he pairs strong statistical training (MSc ETH Zurich) with broad industry exposure. Based in London, he brings a track record of squeezing efficiency gains out of models and systems and a curiosity for translating research into cost- and time-saving production outcomes.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at University of Oxford
Msci, Physics, Msci, Physics at Imperial College London
European Baccalaureate, European Baccalaureate at European School Brussels 1
Master of Science (MSc), Statistics, Master of Science (MSc), Statistics at ETH Zurich
English, French, Spanish, German