Ruben Ohana
About
Ruben Ohana is from New York, New York, United States. Ruben is currently Flatiron Research Fellow, Center for Computational Mathematics, Flatiron Institute at Simons Foundation, located in New York, Etats-Unis. In Ruben's previous role as a Phd Candidate at Ecole normale superieure, Ruben worked in Ville de Paris, Ile-de-France, France until Sep 2022. Prior to joining Ecole normale superieure, Ruben was a Phd Internship in Machine Learning at Criteo and held the position of Phd Internship in Machine Learning at Ville de Paris, Ile-de-France, France. Prior to that, Ruben was a Research Internship in Machine Learning at Ecole normale superieure, based in Ville de Paris, Ile-de-France, France from May 2019 to Oct 2019. Ruben started working as Research Internship in Quantum Information at LIP6 - Laboratoire d'Informatique de Sorbonne Universite in Ville de Paris, Ile-de-France, France in Apr 2018. From May 2017 to Jul 2017, Ruben was Research Internship in Optics at Massachusetts Institute of Technology, based in Cambridge, USA. Prior to that, Ruben was a Research Internship in Experimental Quantum Physics at NTT, based in Atsugi, Prefecture de Kanagawa, Japon from Jul 2016 to Dec 2016.
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Ruben Ohana's current jobs
Research in machine learning and mathematics, developing new optimization and training methods for neural networks. Also building foundation models for science.
Ruben Ohana's past jobs
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.