Ruben Ohana
About
Ruben Ohana is from United States. Ruben is currently Senior Research Scientist, Fundamental Generative AI at NVIDIA, located in Santa Clara, California, United States. In Ruben's previous role as a Research Fellow, Center for Computational Mathematics, Flatiron Institute at Simons Foundation, Ruben worked in New York, États-Unis until Apr 2025. Prior to joining Simons Foundation, Ruben was a PhD candidate at École normale supérieure and held the position of PhD candidate at Ville de Paris, Île-de-France, France. Prior to that, Ruben was a PhD Internship in Machine Learning at Criteo, based in Ville de Paris, Île-de-France, France from Dec 2021 to Mar 2022. Ruben started working as Research Internship in Machine Learning at École normale supérieure in Ville de Paris, Île-de-France, France in May 2019. From Apr 2018 to Jun 2018, Ruben was Research Internship in Quantum Information at LIP6 - Laboratoire d'Informatique de Sorbonne Université, based in Ville de Paris, Île-de-France, France. Prior to that, Ruben was a Research Internship in Experimental Optics at Massachusetts Institute of Technology, based in Cambridge, USA from May 2017 to Jul 2017. Ruben started working as Research Internship in Experimental Quantum Physics at NTT in Atsugi, Préfecture de Kanagawa, Japon in Jul 2016.
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Ruben Ohana's current jobs
Generative AI for industrial applications.
Ruben Ohana's past jobs
Research in machine learning and mathematics, developing new optimization and training methods for neural networks. Building Foundation Models for science within the Polymathic AI initiative.
Designing new machine learning algorithms by leveraging the use of randomness. Applications in differential privacy, adversarial robustness, optimization of neural networks, optimal transport. PhD advisors: Florent Krzakala (EPFL- ex ENS), Alessandro Rudi (Inria Paris) and Laurent Daudet (LightOn)
PhD internship in Optimal Transport at the Criteo AI Lab. Worked on increasing the discriminative power of the Sliced-Wasserstein distance using the PAC-Bayesian framework. Supervisors: Liva Ralaivola & Alain Rakotomamonjy.
Work on approximation of Kernels in Online learning and Neural Networks in collaboration with the start-up LightOn, for applications in large scale machine learning. Supervisor: Prof. F. Krzakala, ENS.
Theoretical study of contextuality for quantum information networks. Supervisor: Damian Markham, Quantum Information group, LIP6.
Development of high power fiber lasers for future LIGO (Laser Interferometer Gravitational-Wave Observatory) upgrades. Supervisor: Peter Fritschel, MIT LIGO laboratory, MIT Kavli Institute for astrophysics and space research.
Theoretical and experimental research on the Quantum Spin Hall Effect in InAs/(In)GaSb topological insulators. Supervisor: Hiroshi Irie, Quantum Solid State Physics group, NTT Basic Research Laboratories.