CV

Research Interest

Develop measurement-grounded AI models for biology and health, combining learned priors with physical measurement models to infer latent biological states, quantify uncertainty, and design experiments and measurement devices, from protein ensembles to medical imaging and wearable sensing.

Experience

Princeton UniversityPrinceton, NJ
Postdoctoral Research AssociateFrom 2025
Hosts: Guillermo Sapiro, Olga Troyanskaya
  • Building AI systems to accelerate scientific discovery and enable precision healthcare.
Broad Institute of MIT and HarvardBoston, MA
Eric and Wendy Schmidt Postdoctoral FellowFrom 2025
Schmidt Center · Host: Caroline Uhler
Institute of Science and Technology, AustriaVienna, Austria
Visiting Scientist2024-25
Host: Alex Bronstein
  • Led multiple interdisciplinary machine learning projects in biology, chemistry, and physics through close collaboration with researchers at IST Austria.
Pfizer R&DBerlin, Germany
ML Research Scientist Intern2024
  • Built a state-of-the-art model for selecting chiral separator molecules, deployed in the internal medicine-design pipeline, and prototyped ML-based 4D-NOESY assignment for biomolecular NMR.
Sibylla, Ltd.London, UK
ML Researcher2020-23
Founding team member
  • Researched and built quantitative trading strategies and the in-house simulation platform, yielding excess returns and contributing to two fund-raising rounds.

Education

Technion – Israel Institute of TechnologyHaifa, Israel
Ph.D. Computer Science2020-25
  • Thesis: Machine learning and statistical methods for problems in life and physical sciences.
  • Advisors: Alex Bronstein, Michael Zibulevsky
Technion – Israel Institute of TechnologyHaifa, Israel
M.Sc. Computer Science (cum laude)2017-20
  • Thesis: Learning-based design of ultrasound imaging systems.
  • Advisors: Alex Bronstein, Michael Zibulevsky
Birla Institute of Technology and Science, PilaniHyderabad, India
B.Eng. (Hons.) Computer Science2013-17

Awards, Honors, Scholarships

  • Eric and Wendy Schmidt Postdoctoral Fellowship, Broad Institute2025-27
  • Pfizer–Technion Ph.D. Fellowship2023-24
  • Excellence scholarship for Ph.D. studies, The Israeli Smart Transportation Research Center (twice)2022-24
  • Faculty scholarship for excellence in studies and research, Computer Science Department, Technion (three times)2019-22
  • Graduated Cum Laude, M.Sc. studies, Technion2021
  • VATAT prize for outstanding interdisciplinary research in data science, Technion2020

Publications, Patents, Talks

Citations: 700+, h-index: 15+. The full list, filterable by field, is on the publications page.

Teaching Experience

IST Austria
Teaching Assistant2024
Applied Deep Learning for Scientists · Lecturers: Francesco Locatello, Alex Bronstein
  • Graduate-level course for Ph.D. students. Designed and delivered recitations and designed home assignments.
Technion
Head Teaching Assistant2018-23
Digital Image Processing (236860) · Lecturer: Alex Bronstein
  • Introductory graduate-level course. Co-designed the course from scratch. Responsibilities included preparing and teaching tutorials, designing home assignments and final projects, and building and managing the course website.

Academic Service

Journals
IEEE Transactions on Ultrasonics · SIAM Journal on Imaging Sciences · Frontiers in Neuroscience · Computer Methods and Programs in Biomedicine · Nature Machine Intelligence · Journal of Applied Mathematical Modelling
Conferences
ICLR · ICML · NeurIPS · AISTATS · MSML · MICCAI · MLHC
Evaluator
Ph.D. applications, European Laboratory for Learning and Intelligent Systems (ELLIS), 2023-25