CV - Julius Schlensok

Work experience

08/2026 – 06/2027: Visiting Researcher

Helmholtz Munich, Heinzinger lab

07/2026 – 06/2027: Scientific Employee

TU Munich, Rostlab
ProtAL: Active learning for protein engineering (Software Campus project)

09/2025 – 05/2026: Master’s Thesis Student

Helmholtz Munich, Heinzinger lab
Protein engineering using preference optimization on protein language models

10/2025 – 03/2026: Tutor

TU Munich
Data Analysis and Visualization in R/Python

04/2022 – 09/2023: Graduate Researcher

TU Munich, Rostlab
Machine learning for proteins: disorder, stability, and variant effect prediction
First author of intrinsic disorder predictor UdonPred - top 10 in CAID4 Disorder-NOX benchmark

10/2023 – 07/2026: Undergraduate Researcher

TU Munich, Rostlab
Machine learning for proteins, mainly variant effect prediction
First author of variant effect predictor VespaG in collaboration with Laine lab (Sorbonne CQSB) - #2 on ProteinGym at time of publication

06/2023 – ongoing: Bar Manager

Eventprofil GmbH, Pfinztal
Running bars of <=25 staff at multi-day music festivals

07/2021 – 08/2024: IT & Software Solutions Provider

self-employed

03/2021 – 10/2022: Working Student Software Engineering

SANEON GmbH, Ismaning
Project management and software development on autonomous driving research projects

01/2019 – 12/2020: Working Student IT Service Management

mITSM GmbH, Munich
IT operations & support
certified ISMS Security Officer according to ISO/IEC 27001

Skills

Software development

Python
Bash
Git
Linux
C
Java
Docker
Object-oriented programming
High-performance computing
Agile development

Machine learning & data science

PyTorch
Polars
Pandas
Matplotlib/Seaborn
ggplot
WandB
Huggingface
R
Jupyter

Biology and biochemistry

Molecular biology
Genomics
Evolutionary biology
Genomics
Neurobiology
Proteomics

Publications

FrustrAI-Seq: Scaling Local Energetic Frustration to the Protein Sequence Space

Leusch, J.-P., Poley-Gil, M., Fernandez-Martin, M., Simonetti, F. L., Schlensok, J., Rost, B., Parra, R. G., & Heinzinger, M. FrustrAI-Seq: Scaling Local Energetic Frustration to the Protein Sequence Space.

UdonPred: Untangling Protein Intrinsic Disorder Prediction

Schlensok, J., Wagemann, D., Senoner, T., Haak, M., & Rost, B. (2026). UdonPred: Untangling Protein Intrinsic Disorder Prediction (p. 2026.01.26.701679). bioRxiv.

VespaG: Expert-guided protein Language Models enable accurate and blazingly fast fitness prediction

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.

Julius Schlensok

CV

Education

Work experience

Skills

Languages

Publications

FrustrAI-Seq: Scaling Local Energetic Frustration to the Protein Sequence Space

UdonPred: Untangling Protein Intrinsic Disorder Prediction

VespaG: Expert-guided protein Language Models enable accurate and blazingly fast fitness prediction

Teaching

Protein Prediction 1

Data Analysis and Visualization in R/Python

Reviewing

Volunteering