I am a bioinformatics researcher focused on developing machine learning methods to deepen our understanding of how proteins shape life.
Academic Activities
Publications
Schlensok, J., Marquet, C., Abakarova, M., Rost, B., & Laine, E. (2024). Expert-guided protein language models enable accurate and blazingly fast fitness prediction. Bioinformatics, 40(11), btae621. https://doi.org/10.1093/bioinformatics/btae621
Schlensok, J., Wagemann, D., Senoner, T., Haak, M., & Rost, B. (2026). UdonPred: Untangling Protein Intrinsic Disorder Prediction (p. 2026.01.26.701679). bioRxiv. https://doi.org/10.64898/2026.01.26.701679
Invited Talks
Sorbonne LCQB – 02/2025
Teaching
Tutor for Data Analysis and Visualization – 2025 Winter term
Supporting exercises for Protein Prediction I for Computer Scientists – 2026 Summer term
Open-Source Contributions
Oktoberfest: Rescoring, Collision Energy Calibration and Spectral Library Generation for Proteomics
VespaG: Expert-Guided Protein Language Models Enable Accurate and Blazingly Fast Fitness Prediction
Conference Contributions
ML4NGP Thessaloniki, 05/2024: Accepted Poster
HAICON München, 06/2026: Accepted Poster
Reviewing
ISMB 2026
Volunteering
Tutoring first-year bioinformatics students, 10/2020-09/2023
LMU Munich Student
Volunteer at HAICON München, 06/2026