Scholar
Florian Barkmann
Google Scholar ID: THr6C8kAAAAJ
ETH Zürich
Citations & Impact
Citations
35
H-index
4
i10-index
1
Publications
9
Co-authors
5
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Paper 'scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data' accepted at ICML 2025 as a spotlight; CancerFoundation accepted at the AIDrugX workshop at Neurips; First (co-)last author paper with Philip Toma and Olga Ovcharenko on benchmarking SSL methods for single-cell data also accepted at the SSL workshop; Will attend the first scverse conference in Munich and present scTree as a poster; Marco Baumann's thesis 'scDIVA: Towards Domain Invariant Reference-Query Mapping' also accepted as a poster; scTree received a spotlight at the AccMLBio workshop and was accepted at the SPIGM workshop at ICML in Vienna; CanSig selected as a contributed talk at the Single cell, systems biology and data analytics approaches conference in Freiburg and Leander Diaz-Bone’s thesis accepted as a poster.
Research Experience
- Worked as a research intern at the German Cancer Research Center (DKFZ) on optimization problems in radiation therapy and at the German Climate Computing Center (DKRZ) developing tools for climate simulations.
Education
- Master’s degree in Data Science from ETH Zürich; Bachelor degrees in Mathematics and International Economics from the University of Tübingen.
Background
- PhD student in the Boeva Lab at ETH Zürich. Research interests lie at the intersection of single cell foundation models, representation learning, and cancer biology.
