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Hannes Stärk

MIT Research Intern • Geometric DL + Graphs • M.Sc. Informatics from TU Munich

Hannes Stärk is a dedicated MIT Research Intern with a strong academic background, holding an M.Sc. in Informatics from TU Munich. Currently, Hannes is actively engaged in research on geometric deep learning for protein binding in the esteemed labs of Prof. Regina Barzilay and Prof. Tommi Jaakkola at MIT. His primary research interests revolve around geometric deep learning, graphs, and self-supervised learning. With a keen passion for academia and research, Hannes is always open to discussing various topics and welcomes communication.

In terms of education, Hannes pursued his Master of Science in Informatics, achieving an exceptional grade of 1.2 from the Technical University of Munich. Prior to this, he completed his Bachelor of Science in Informatics with a remarkable grade of 1.68 at Bundeswehr University Munich.

Highlights

Aug 18 · linkedin

Tomorrow we discuss "Tokenized and Continuous Embedding Compressions of Protein Sequence and Structure" https://lnkd.in/ecjUzG95 with @amyxlu in the reading group!

Join us at 11am ET / 5pm CEST on zoom: https://lnkd.in/eXnrUCsc

Aug 10 · linkedin

Next Monday in the reading group, we discuss the recent developments around discrete flow matching and discrete diffusion. Our expert of choice will be Andrew Campbell :)

Related paper: "Discrete Flow Matching" https://lnkd.in/eH_enWQG

On zoom 11am ET https://lnkd.in/eXnrUCsc

Hannes Stärk
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Location

Amberg, Bavaria, Germany