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Abstract: Computational Science is rapidly transforming fields from energy to pharmaceuticals, but the career paths it enables are diverse and often misunderstood. In this seminar, I will talk about my own trajectory: beginning as a PhD student working on computational catalysis at Brown University and ultimately becoming a computational material scientist at Pfizer. Through stories, examples, and lessons learned, I will describe the scientific journey, unexpected pivots, and key decisions that shaped my transition from academia to industry.The talk will also explore how computational thinking — modeling, simulation, and data-driven analysis — empowers scientist to tackle complex, high-impact problems.Bio: Shubham Sharma is a Principal Scientist within the Material Sciences group at Pfizer, where he works on developing and employing computational solutions for drug development. Shubham earned his PhD in Chemical Engineering from Brown University, where he worked with Prof. Andrew A. Peterson on computational catalysis and electrochemistry from first-principles simulations. He then completed a postdoctoral fellowship at the Lawrence Livermore National Laboratory, expanding he expanded his expertise in the field of electrochemical dissolution, and explored machine learning techniques in spectroscopy. Across academia, national labs, and industry, Shubham’s work has centered on leveraging computational tools to bridge fundamental molecular insights with practical applications. Shubham joined Pfizer in 2022 and currently serves a subject matter expert for various modeling initiatives within the Material Sciences group.
📍 LGRT 201