Contact:
jonathanamar at verily dot com
CV: PDF
LinkedIn
GitLab
I am a Data Scientist at Verily Life Sciences
since March 2021.
I joined initially as part of their team working on Covid19 analytics, and now work on several data science
efforts on Onduo, a program for proactive disease
management.
Prior to Verily, I earned my Ph.D from the MIT Operations Research
Center in 2020,
advised by Prof. N. Trichakis.
My research interests lie in Online Optimization and approximation algorithms, in Machine Learning coupled
with Operations Management applications.
I further work on bandit problems, online optimization and exploration-exploitation tradeoffs.
Previously I earned my BS and MS from the Ecole
Polytechnique in Applied Mathematics and Computer Science. I've had the pleasure to research at the Technion in Robust optimization.
Passionated about applying data-driven methods to solve complex decision-making problems, I look for
challenges to get involved in high-impact projects. For instance, I was lucky to intern within the dispatch
team at Uber Inc., optimizing real-time and large-scale
systems.