Lin Zhang

Senior Data Scientist

Research

(Alumni)

Lin Zhang joined the SDSC as a senior data scientist. She completed her PhD at ETH Zurich in 2023, with a focus on simulation in medical imaging with deep learning. Before that, she obtained a bachelor degree in electrical engineering from the Technical University Munich, and a master degree in biomedical engineering from ETH Zurich. Her research interests include deep generative models, domain adaptation and applications of machine learning in healthcare.

Projects

DUPLET

In Progress

DUal Positron Lifetime Emission Tomography

Biomedical Data Science

RESEARCH

MUTIGER

In Progress

MUTations, Interactions and GEne Regulation

Biomedical Data Science

RESEARCH

Publications

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Grover, A.; Muser, T.; Kasak, L.; Zhang, L.; Krymova, E.; Boeva, V. "Evaluation of deep learning approaches for high-resolution chromatin accessibility prediction from genomic sequence" Preprint 2025 View publication 

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Grover, A.; Zhang, L.; Muser, T.; Häfliger, S.; Wang, M.; Yates, J.; Van Allen, E. M.; Theis, F. J.; Ibarra, I. L.; Krymova, E.; et al. "UniversalEPI: a generalized attention-based deep ensemble model to accurately predict enhancer-promoter interactions across diverse cell types and conditions" Preprint 2024 View publication 

Mentioned in

September 17, 2025

Transforming cancer care with Artificial Intelligence

A new national initiative aims to develop a secure, Swiss-hosted infrastructure for AI-enhanced precision oncology in Switzerland.

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Case Studies

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