Samuel Mun is an Associate Scientist in Computational Drug Design at insitro since May 2022, where expertise in computational chemistry has been applied to adapt open-source software for cloud operations. Prior experience includes a role as a Research Associate in Medicinal Chemistry at Gilead Sciences from August 2020 to April 2022, during which Samuel designed and synthesized prodrugs, contributed to lead optimization projects, and presented on AI in drug discovery. As an Undergraduate Researcher at UC Berkeley's Miller Lab from August 2017 to May 2020, Samuel synthesized and characterized novel imaging dyes and utilized computational methods to study their properties. Additionally, a research internship at Corteva Agriscience involved optimizing synthetic routes for insecticide intermediates. Samuel holds a Bachelor of Science in Chemical Biology with Highest Honors from the University of California, Berkeley.
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