Lisa Schut

Photo credit: Alina l'Ami

About Me

I'm a PhD student interested in understanding and designing more robust, theoretically grounded machine learning algorithms. I'm supervised by Yarin Gal, and a member of the AIMS CDT and OATML lab. My DPhil is jointly funded by DeepMind and EPSRC.

I hold a BSc in Econometrics and Operations Research from Erasmus University Rotterdam, and two MScs in the fields of Statistics and Computer Science from the University of Oxford. I'm curious about a wide range of topics, generally falling under the areas of statistics, machine learning, and optimization.

Since the age of eight, I've been passionate about playing chess. Originally, chess was simply a family activity, but incipiently I became enamored with the game - I love the interplay between creativity, sharp analytical skills, and psychology. At the age of twelve, I played my first World Youth Championship and by the age of fourteen, became the youngest ever member of the Dutch Olympic Chess team. During my chess career, I set 14 national records; highlights include becoming the youngest Women's International Master (beating the previous record by four years), threefold medalist at European and World Youth Championships, and undefeated Dutch Champion. In 2014, we, the Dutch national women's team, founded ChessQueens to improve gender equality in chess in the Netherlands by supporting female chess players.


If want to reach out, feel free to drop me a line at schut [at] robots [dot] ox [dot] ac [dot] uk or ping me on twitter at @miouantoinette. I'm always curious to hear about research internships (starting earliest summer 2021) or potential collaborations.