Amelie Schreiber

AI Researcher For Computational Biochemistry at Dassault Systèmes

Amelie Schreiber is an accomplished AI Researcher for Computational Biochemistry at Dassault Systèmes, specializing in the development of AI and deep learning techniques for proteins, small molecules, DNA, and RNA since January 2024. As an Independent Researcher since December 2019, Amelie has focused on finetuning protein language models, predicting binding sites, and advancing in silico directed evolution of protein sequences. Previous experience includes co-founding Athenaeum, working as a Machine Learning Researcher at Analytics Ventures, and developing technical content at Course Hero. Amelie's academic background includes multiple degrees in Mathematics and German Language and Literature from prestigious institutions, including the University of Connecticut and Wake Forest University, with research interests spanning Topological Data Analysis, the Langlands Program, and Quantum Computing.

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