Experience

The Hebrew University of Jerusalem

• Israel
• Higher Education
• 700 & Above Employee

• Visiting Research Fellow

  • May 2022 - Present

  Visiting research fellow in Pr. Jonathan Kadmon's lab at the Edmond and Lily Safra Center for Brain Sciences. Visiting research fellow in Pr. Jonathan Kadmon's lab at the Edmond and Lily Safra Center for Brain Sciences.



Ecole normale supérieure

• Research Services
• 700 & Above Employee

• Research Intern

  • Apr 2021 - Jul 2021

  Inference of learning rules in biologically plausible recurrent neural networks. Supervised by Pr. Rémi Monasson. * Data analysis on calcic recordings of zebra fish brain activity. * Modeling this brain activity and its learning process based on a RNN model. Inference of learning rules in biologically plausible recurrent neural networks. Supervised by Pr. Rémi Monasson. * Data analysis on calcic recordings of zebra fish brain activity. * Modeling this brain activity and its learning process based on a RNN model.



École Polytechnique

• France
• Research Services
• 700 & Above Employee

• Research Intern

  • Dec 2019 - May 2020

  Studying and modeling emergence phenomena in price heterogeneities. Supervised by Pr. Michael Benzaquen and Alan Kirman. * Data extraction and analysis (in particular PCA) * Comparison between usual statistical physics model to fit the data and conception of an agent based model having phases associated to the different behaviours observed. Studying and modeling emergence phenomena in price heterogeneities. Supervised by Pr. Michael Benzaquen and Alan Kirman. * Data extraction and analysis (in particular PCA) * Comparison between usual statistical physics model to fit the data and conception of an agent based model having phases associated to the different behaviours observed.



CANADA-FRANCE-HAWAII TELESCOPE CORPORATION

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Research Intern

  • Aug 2019 - Nov 2019

  Development of a convolutional neural network for detecting parasite sources in the data harvested by the SITELLE spectrometer. Supervision by Simon Prunet and Laurie Rousseau-Nepton. * Making of a training set through defect generation on clean images. * Conception and training of a deep neural network able to detect and label the different types of defects. Development of a convolutional neural network for detecting parasite sources in the data harvested by the SITELLE spectrometer. Supervision by Simon Prunet and Laurie Rousseau-Nepton. * Making of a training set through defect generation on clean images. * Conception and training of a deep neural network able to detect and label the different types of defects.



UC San Diego

• United States
• Higher Education
• 700 & Above Employee

• Research Intern

  • Feb 2019 - Jul 2019

  Synthesis of self-propelled swimmers and studying of emergence phenomena in their collective behaviour. Supervision by Pr. Jérémie Palacci. * Participation in developing an experimental setup together with exploring unknown phenomena. * Developement of a synthesis protocol for self-propelled diffusio-phoretic swimmers able to resist high constraints. Synthesis of self-propelled swimmers and studying of emergence phenomena in their collective behaviour. Supervision by Pr. Jérémie Palacci. * Participation in developing an experimental setup together with exploring unknown phenomena. * Developement of a synthesis protocol for self-propelled diffusio-phoretic swimmers able to resist high constraints.