Ruchit Panchal

Ruchit Panchal

Computational Associate Ii @ Broad

About Ruchit Panchal

Ruchit Panchal is a Computational Associate II at the Broad Institute of MIT and Harvard, specializing in computational biology and machine learning applications. He has a strong academic background in Engineering Physics and has held various research and analytical roles across institutions in the United States and India.

Work at Broad Institute

Ruchit Panchal has been serving as a Computational Associate II at the Broad Institute of MIT and Harvard since 2019. In this role, he focuses on developing computational models that aid in the understanding of complex biological systems. His work contributes to the institute's mission of advancing biomedical research through innovative computational methods.

Education and Expertise

Ruchit Panchal holds a Master's degree in Engineering Physics/Applied Physics from the University of Massachusetts Lowell, which he completed from 2015 to 2017. He also earned a Bachelor's degree in the same field from the University of Mumbai, where he studied from 2011 to 2014. His expertise includes designing computer models for regulatory networks and applying machine learning techniques in biological research.

Background in Research and Analysis

Prior to his current position, Ruchit Panchal worked at the University of Massachusetts Lowell as a Data Analyst for the High Altitude Balloon Team in 2016. He also served as a Research Assistant and Professor's Assistant at the same university from 2015 to 2017. His experience includes a research internship at the University of Mumbai from 2011 to 2014, where he gained foundational skills in research methodologies.

Experience in Computational Biology

Ruchit Panchal has experience as a Computational Biologist at Beth Israel Deaconess Medical Center from 2018 to 2019. His work involved statistical inference and data visualization, which are critical in the field of computational biology. He applies his skills in computational physics and biology to study dynamic biological systems.

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