Felipe Engelberger
Executive Board Member at Leipzig University
Germany
Summary
👤
Senior🎓
Top SchoolFelipe Engelberger is a computational biophysics and machine learning researcher with eight years of interdisciplinary experience bridging Bayesian statistics, geometric deep learning, and protein design. He co-founded AI-Driven Therapeutics and Data Root while pursuing a PhD in Mathematics and Computer Science at Leipzig University, combining startup leadership with hands-on research and software development. As a visiting researcher at MIT and UC San Diego and an elected Executive Board Member of Rosetta Commons, he represents early-career scientists shaping global protein-design tools used across academia and industry. His background in biochemistry and practical training in HDX-MS and accelerated MD give him rare experimental–computational fluency that informs model-driven therapeutic innovation. Often nominated for scientific creativity and collaboration, he builds teams and technologies focused on translating advanced ML and biophysical methods into deployable drug-discovery workflows.
8 years of coding experience
5 years of employment as a software developer
PhD student Mathematics and Computer Science, PhD student Mathematics and Computer Science at Leipzig UniversityBSc Biochemistry, BSc Biochemistry at Universidad de Chile
English, German, Spanish
Github Skills (56)
docking10
binding10
computational-biology9
simulation7
diffusion-models7
machine-learning7
artificial-intelligence6
bioinformatics5
deep-learning5
ipad5
molecular-simulation5
evaluation5
transformers5
biology4
structural-biology4
Programming languages (7)
Github contributions (5)
engelberger/ColabDesign
Mar 2023 - Jan 2025
Making Protein Design accessible to all via Google Colab!
Contributions:27 pushes, 6 branches in 1 year 10 months
engelberger/engelberger.github.io
Feb 2018 - Apr 2020
Mainly Spam
Contributions:33 pushes, 1 branch in 2 years 2 months
spam
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