Summary
Lukas Jarosch is a PhD student at Columbia University’s AlQuraishi Lab developing machine learning models for protein structure and drug discovery, including contributions to the OpenFold project. With four years of research experience across top labs and industry—EMBL, EPFL, Roche, Oxford—he bridges computational biochemistry and ML, from Rosetta-based binder design to Gaussian process models for antibody enrichment. He holds top-ranked Biochemistry degrees from Heidelberg and a track record of successful thesis and internship projects that combine wet-lab insight with computational rigor. Lukas’s work uniquely blends single-cell transcriptomics, protein-ligand co-folding, and large-scale structure prediction, enabling practical advances in therapeutic discovery pipelines. Based in New York, he brings a rare mix of deep domain knowledge and production-oriented code development in Python for biotech applications.
4 years of coding experience
Master of Science - MS, Biochemistry, 1.0, Master of Science - MS, Biochemistry, 1.0 at Ruprecht-Karls-Universität Heidelberg
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Columbia University
Abitur, 1.0 (best in year), Abitur, 1.0 (best in year) at Anna-Essinger-Gymnasium