Sebastian is a research engineer with focus on machine learning at D. E. Shaw Research. Drawing upon insights from deep learning and quantum mechanics, his research aims to improve atomistic simulations of ligand-protein binding processes, which are crucial in D. E. Shaw Research's drug discovery pipeline.
Before D. E. Shaw Research, Sebastian worked at Roivant Discovery as a Senior Investigator where his work focused on improving molecular mechanics force fields and charge models with the help of machine learning.
Sebastian received his PhD in physics from Stony Brook University in 2021 where he focused on applications of deep learning to eletronic structure calculations in chemistry and material sciences. His thesis was honored with the
Stony Brook University President's Award to Distinguished Doctoral Students. He is a two-times recipient of the Young Researcher Award, granted by the Institute for Avanced Computational Science and his thesis reasearch was supported through a Software Fellowship awarded by the Molecular Sciences Software Institute (MolSSI). He has received training in sustainable software development from MolSSI, which he draws upon in his research.
Apart from being an avid guitarist, Sebastian enjoys hiking and mountain biking as well as working on machine learning and data science projects outside his area of research.
D. E. Shaw Research
Stony Brook Group
MolSSI
IACS
NeuralXC