
Tim Huitema, MSc candidate
Applied Mathematics, University of Twente

Hao Qiu, PhD candidate
ELLIS PhD Program,
Cosupervised with Nicolò CesaBianchi

Élise Crepon, PhD candidate
Mathematics, ENS Lyon
Cosupervised with Aurélien Garivier

Tyron Lardy, PhD candidate
Statistical Science, Leiden University
Cosupervised with Peter Grünwald

Muriel Pérez Ortiz, PhD 6 Jul 2023
Are we there yet? Advances in AnytimeValid Methods for Hypothesis Testing and Prediction
Statistical Science, Leiden University
Cosupervised with Peter Grünwald
Now: Postdoc with Rui Castro at Eindhoven University

Frits Tuininga, MSc 16 Jun 2023
Uncovering the Potential of Deep Learning in Algorithmic Trading
Applied Mathematics, University of Twente

Mustafa Mert Celikok, CWI Intern, PhD JanMay 2023
Machine Learning, CWI

Max Meijer, MSc 6 Feb 2023
Online learning on conformal maps and pseudoorthogonal transformations in pseudoEuclidean geometry: a matrix Lie algebra approach
Stochastics and Financial Mathematics, University of Amsterdam

Julia Kowalska, MSc 30 Aug 2022, cum laude
The TrackandStop Algorithm beyond 1dimensional exponential families
Mathematics, University of Amsterdam
Now: PhD at Amsterdam Medical Center with Stephanie van der Pas

Francesco Gili, MSc 29 Aug 2022, cum laude
Studies on Evalues and Eprocesses
Stochastics and Financial Mathematics, University of Amsterdam
Now: PhD at Delft University with Aad van der Vaart and Geurt Jongbloed

Côme Fiegel, PostMSc research internship Nov 2021Feb 2022
Artificial Intelligence, ENS ParisSaclay
Now: PhD at CREST, Paris with Vianney Perchet

Élise Crepon, PostMSc research internship Sep 2021Jun 2022
Artificial Intelligence, ENS ParisSaclay
Now: PhD at Lyon University with Aurélien Garivier

Zakaria Mhammedi, PhD September 2021
Adaptivity in Online and Statistical Learning
Computer Science, Australian National Unversity
Now: Postdoc at MIT with Sasha Rakhlin

Rianne de Heide, PhD 26 Jan 2021
Bayesian Learning: Challenges, Limitations and Pragmatics
Statistical Science, Leiden University
Cosupervised with Peter Grünwald and Jacqueline J. Meulman
Now: Postdoc at INRIA Lille

Thomas Schiet, MSc 14 Dec 2020
Improving (ε,δ)PAC Monte Carlo tree search using spherical confidence regions
Applied Mathematics, Delft University of Technology
Now: Founder of Flux Medical Systems

Guanyu Jin, MSc 2 Nov 2020, cum laude
An asymptotically optimal algorithm for the maximin action identification problem
Mathematics, Leiden University
Now: PhD student at the University of Amsterdam

LouisSébastien Rebuffi, PostMSc research internship FebAug 2020
Mathematics, ENS Lyon
Now: PhD student at GrenobleAlpes University

Han Shao (邵涵), CWI Intern, PhD MayJul 2019
Machine Learning, CWI
Now: PhD student at TTI Chicago

Antoine Simoes, PostMSc research internship MayJun 2019
Mathematics, ENS Lyon

Federico Girotti, MSc 27 Sep 2018, cum laude
Generalisation of Thompson Sampling for Maximin Action Identification
Mathematics, University of Milan
Now: PhD student at Pavia University

Marc Volkert, MSc 19 Oct 2017
Confidence Bound Algorithms in Game Trees: Effective Monte Carlo Tree Search through Bernstein’s Inequality and the Law of the Iterated Logarithm
Statistical Science for the Life and Behavioral Sciences, Leiden University
Now: Data Scientist at Origami Energy. Before: Decision Support Consultant at KLM Royal Dutch Airlines

Mingxi Li, MSc 12 Oct 2017
Thompson Sampling for Monte Carlo Tree Search and Maximin Action Identification
Statistical Science for the Life and Behavioral Sciences, Leiden University
Now: Energy trader at Priogen. Before: Risk analyst at PSA Finance.

Jarko Dubbeldam, MSc 20 Dec 2016
Sampling methods for MiniMax Action Identification
Statistical Science for the Life and Behavioral Sciences, Leiden University
Now: Junior Data Scientist at Independer