Students
I have the pleasure to supervise these smart people.
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Tim Huitema, MSc candidate
Applied Mathematics, University of Twente -
Hao Qiu, PhD candidate
ELLIS PhD Program,
Co-supervised with Nicolò Cesa-Bianchi -
Élise Crepon, PhD candidate
Mathematics, ENS Lyon
Co-supervised with Aurélien Garivier -
Tyron Lardy, PhD candidate
Statistical Science, Leiden University
Co-supervised with Peter Grünwald -
Muriel Pérez Ortiz, PhD 6 Jul 2023
Are we there yet? Advances in Anytime-Valid Methods for Hypothesis Testing and Prediction
Statistical Science, Leiden University
Co-supervised 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 Jan-May 2023
Machine Learning, CWI -
Max Meijer, MSc 6 Feb 2023
Online learning on conformal maps and pseudo-orthogonal transformations in pseudo-Euclidean geometry: a matrix Lie algebra approach
Stochastics and Financial Mathematics, University of Amsterdam -
Julia Kowalska, MSc 30 Aug 2022, cum laude
The Track-and-Stop Algorithm beyond 1-dimensional 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 E-values and E-processes
Stochastics and Financial Mathematics, University of Amsterdam
Now: PhD at Delft University with Aad van der Vaart and Geurt Jongbloed -
Côme Fiegel, Post-MSc research internship Nov 2021-Feb 2022
Artificial Intelligence, ENS Paris-Saclay
Now: PhD at CREST, Paris with Vianney Perchet -
Élise Crepon, Post-MSc research internship Sep 2021-Jun 2022
Artificial Intelligence, ENS Paris-Saclay
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
Co-supervised 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 -
Louis-Sébastien Rebuffi, Post-MSc research internship Feb-Aug 2020
Mathematics, ENS Lyon
Now: PhD student at Grenoble-Alpes University -
Han Shao (邵涵), CWI Intern, PhD May-Jul 2019
Machine Learning, CWI
Now: PhD student at TTI Chicago -
Antoine Simoes, Post-MSc research internship May-Jun 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 Maxi-min 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 Mini-Max Action Identification
Statistical Science for the Life and Behavioral Sciences, Leiden University
Now: Junior Data Scientist at Independer