Adrien Goldszal

Visiting Student Researcher at ETH Zurich Learning and Adaptive Systems Group
MSc student at École Polytechnique (Cycle Ingénieur) & PSL Research University

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Hi ! I’m currently a visiting researcher at ETH Zurich, where I recently completed my master’s thesis and am continuing my research. I’m a final year MSc student at Paris Sciences et Lettres (PSL) specializing in machine learning, after having finished an engineering degree (Cycle Ingénieur) at Ecole Polytechnique, France, studying mathematics and computer science.

I’m passionate about leveraging machine learning for scientific discovery, at the interface of generative modelling, reinforcement learning and control, and applications to chemistry and biology. I notably had the chance to work at Mila under Prof. Pierre-Luc Bacon on novel approaches for molecular discovery for sustainable refrigerants and more recently at ETH under Prof. Andreas Krause on steering trans-dimensional 3D molecular generative models with RL.

Previously, I studied engineering as well as physics and chemistry in my preparatory classes at the Lycée Sainte Geneviève in Versailles for my undergraduate studies.

news

Sep 29, 2026 My master’s thesis work at ETH Zurich, “Steering Flexible-Size Molecular Generation via RL on Trans-Dimensional Flows”, has been accepted to the AI4Mat Workshop at NeurIPS 2026!
Apr 13, 2026 Joining Andreas Krause’s group at ETH to work on post-training generative models for molecules!
Mar 15, 2026 “Discovery of Sustainable Refrigerants through Physics-Informed RL Fine-Tuning of Sequence Models” has been accepted for an oral presentation at AI4X 2026 in Singapore.
Oct 31, 2025 “Discovery of Sustainable Refrigerants through Physics-Informed RL Fine-Tuning of Sequence Models” has been accepted at Eurips SIMBIOCHEM Workshop 2025 !
Sep 25, 2025 My internship work on RL finetuning of sequence models for refrigerant molecules is now on Arxiv !