Jul 2022 – Aug 2024 · 2 yrs 1 mo · Palo Alto, California, United States · On-site

• During my sabbatical between Immunai & Jimini, I worked with my co-instructor Kuang Xu to create and teach an entirely new course about Entrepreneurship and Management in AI-heavy companies at Stanford GSB for two years.
• Course website: http://aistanford.org/

Nov 2018 – Present · 7 yrs 4 mos

Nov 2018 – Oct 2022 · 3 yrs 11 mos

Aug 2017 – May 2020 · 2 yrs 9 mos · Tel Aviv District, Israel

• Planning and organizing all matters for the syllabus of a 5-month Data Science and Machine Learning course, coordinating and arranging with industry experts to engage in the program, and mentoring students.

Aug 2017 – Sep 2018 · 1 yr 1 mo · Tel Aviv District, Israel

• Developed Deep Learning techniques tailored to Genomics, phenotype and health-trait predictions.

May 2015 – Aug 2017 · 2 yrs 3 mos · New York, New York

Jan 2013 – Jan 2015 · 2 yrs · Greater Boston

• (completed MSc part; and went to industry during did not complete PhD)
• Winner of the 2015 William A. Martin Best Thesis Prize for best Thesis in Computer Science in MIT.
• My research focused on connecting the empirical literature of Recommendation Systems algorithms with the theoretical literature of Multi-armed bandits and online learning. Thesis title: "Collaborative Filtering with Low Regret"

Jan 2012 – Jan 2012 · 0 mo · New York City Metropolitan Area · On-site

• Did multiple internships, worked on projects to improve options pricing algorithms with trading and research teams.

Jan 2011 – Jan 2011 · 0 mo · Greater Seattle Area · On-site

• Worked in Amazon Fresh (Amazon's Grocery delivery service), using Machine Learning tools to improve the accuracy of delivery times. This was a three-month Software Developer Internship.