Menachem Fromer

Head Of Data Science @ Rome

About Menachem Fromer

Menachem Fromer is the Head of Data Science at ROME Therapeutics and an Associate Professor at the Icahn School of Medicine at Mount Sinai. He has extensive experience in data science and computational biology, having worked at notable institutions such as The Broad Institute of MIT and Harvard and Verily Life Sciences.

Current Role at ROME Therapeutics

Menachem Fromer serves as the Head of Data Science at ROME Therapeutics, a position he has held since 2021. In this role, he leads data-driven initiatives aimed at advancing the company's research and development efforts. His expertise in data science is integral to the organization as it focuses on innovative therapeutic solutions.

Academic Position at Icahn School of Medicine

Since 2012, Menachem Fromer has been an Associate Professor at the Icahn School of Medicine at Mount Sinai. His academic responsibilities include teaching and conducting research, contributing to the institution's mission of advancing medical knowledge and improving patient care. His tenure at Mount Sinai spans over a decade.

Educational Background

Menachem Fromer has an extensive educational background. He studied at The Hebrew University of Jerusalem from 1999 to 2010, where he completed his PhD. He also attended HAFTR and Machon Lev, further enhancing his academic foundation in relevant fields.

Previous Experience at Verily Life Sciences

Prior to his current roles, Menachem Fromer worked at Verily Life Sciences as a Data Science Group Leader from 2016 to 2021. His leadership in data science contributed to various projects aimed at leveraging data for health solutions. This role followed a decade-long tenure at The Broad Institute of MIT and Harvard, where he served as a Computational Biologist from 2010 to 2020.

PhD Studies at The Hebrew University of Jerusalem

Menachem Fromer was a PhD student at The Hebrew University of Jerusalem from 2005 to 2010. His research during this period contributed to his expertise in computational biology and data science, laying the groundwork for his subsequent professional achievements.

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