News

March 5, 2025
ESM-Effect accepted as Spotlight at MLGenX Workshop @ ICLR 2025.
February 7, 2025
Posted ESM-Effect - an ESM-2 Fine-Tuning approach to functional effect prediction and robust Benchmarks
October, 2024
Won the Young Investigator Award of the DGHO cancer research society
September, 2024
Participated in the Mediterranean Machine Learning Summer school in Milan sponsored by Google Deepmind
Profile Picture

Moritz Glaser

Hi, I'm a student researcher working on biological AI applications like mutation effect prediction.

I study computer science at Technical University Berlin and previously studied medicine for a year at Charité - University Hospital Berlin. I'm also a scholar of the German Academic Scholarship Foundation.


Research

My research focuses on mutation effect prediction and improving generalization of ESM-Effect. I also explore RL and interpretability research, comparing AlphaFold2 and ESM-2.

Publications

Paper Figure

ESM-Effect: An Effective Fine-Tuning Framework for Mutation Effect Prediction

Moritz Glaser, Johannes Brägelmann

Tackling functional effect prediction by fine-tuning PLMs on DMS data achieving SOTA performance and x4.7 faster training compared to multi-modal SOTA models. Also introducing a Benchmarking Framework testing on distinct sequence intervals to probe generalization and using the Bin-Mean-Error metric emphasizing prediction performance on rare Gain-of-Function mutations relevant to targeted cancer therapy.

Paper at MLGenX Workshop @ ICLR 2025

Preprint on BioRxiv (2025)

Paper Figure

Clinicopathologic and molecular characteristics of small-scale ROS1-mutant non-small cell lung cancer (NSCLC) patients

Moritz Glaser, Anna Rasokat, Darinka Prang, Lucia Nogova, Claudia Wömpner, Jaqueline Schmitz, Elisabeth Bitter, Inken Terjung, Anna Eisert, Rieke Fischer, Felix John, Cornelia von Levetzow, Sebastian Michels, Richard Riedel, Lea Ruge, Heather Scharpenseel, Udo Siebolts, Sabine Merkelbach-Bruse, Reinhard Buettner, Jürgen Wolf and Matthias Scheffler

Comprehensive analysis of ROS1 mutations in NSCLC, providing insights into patient characteristics and treatment outcomes.

Published in Lung Cancer Journal (2023)

Curriculum Vitae

Download my CV: PDF