One important idea is that science is a means whereby learning is achieved, not by mere theoretical speculation on the one hand, nor by the undirected accumulation of practical facts on the other, but rather by a motivated iteration between theory and practice. Georges EP Box
I am a Machine Learning Research Scientist at Apple, within the Health AI team.
I work on developing new deep learning algorithms that integrate formal domain expertise,
such as that defined by scientific simulators, with real-world data to advance the design of
novel sensing technologies for health.
From November 2022 to November 2023, I served as a postdoctoral researcher at Apple, advised by Jörn-Henrik Jacobsen
(Health AI) and Marco Cuturi (ML Research). In line with my current focus, I investigated strategies for deriving
robust simulation-based inference algorithms to address issues with misspecified simulators,
particularly in their application to health technologies.
Prior to joining Apple, I completed my PhD in Computer Science with an FNRS Research Fellowship,
under the supervision of Professor Gilles Louppe at the University of Liège, Belgium, in October 2022.
I earned my M.Sc. in Computer Engineering from the University of Liège in 2018,
spending my final year as an exchange student at the École Polytechnique Fédérale de Lausanne (EPFL).
At EPFL, I conducted my master's thesis in Jean-Yves Le Boudec's lab, focusing on estimating parameters of electrical distribution networks.
My vision is to enhance the interplay between fundamental sciences and machine learning techniques, both
to spur scientific discovery and to develop predictive models that can be reliably deployed in the real world.
In pursuit of this goal, I actively work on expanding the fields of application of simulation-based inference methods
by enhancing their robustness to model misspecification and improving their integration with real-world data.
My research interests are in deep probabilistic modeling, biophysical sensor design, and simulation-based inference.
If you feel your research agenda and mine could be a good match, feel free to reach out to me!
Download CV