Susan Leung

Cheminformatics Data Scientist @ BenevolentAI

About Susan Leung

Susan Leung is a Cheminformatics Data Scientist at BenevolentAI in London, with a background in biophysical chemistry and biomedical science from the University of Oxford.

Work at BenevolentAI

Susan Leung currently works at BenevolentAI as a Cheminformatics Data Scientist. She joined the company in February 2020 and is based in London, England, United Kingdom. Her role involves using cheminformatics, a field which blends chemistry and informatics, to address complex biological challenges. At BenevolentAI, Susan leverages her expertise to make significant contributions in drug discovery and development.

Google Summer of Code Project with RDKit

In 2018, Susan Leung participated in the Google Summer of Code, working on a project with RDKit for a duration of three months. RDKit is a collection of cheminformatics and machine learning tools. This project provided her with experience in developing software tools used in cheminformatics, enhancing her skills in both programming and the application of computational methods to chemical problems.

Academic and Teaching Experience at University of Oxford

Susan Leung has an extensive academic background at the University of Oxford, where she earned both her DPhil in Systems Approaches to Biomedical Science (2015-2020) and her MChem in Chemistry (2011-2015). During her DPhil, she also worked as a tutor in Biophysical Chemistry from 2016 to 2017, sharing her expertise with students and gaining valuable teaching experience. Her time at Oxford solidified her foundation in both theoretical and practical aspects of chemistry and biomedical science.

Research Experience at The Institute of Cancer Research

In 2014, Susan Leung spent three months as a summer student at The Institute of Cancer Research in Sutton, United Kingdom. This position allowed her to engage in hands-on research, contributing to an important field of study. Her involvement in cancer research early in her career provided her with significant insights and experience that would inform her future work in biomedical science and cheminformatics.

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