Biologist working at the intersection of experimental cell biology and computational modeling.

Training spans immunology, biologics, and bioprocessing across research institutions and biopharma (IBS, Sanofi, Lonza), with hands-on experience from primary cell isolation and flow cytometry to GMP-grade protein purification and single-cell transcriptomics. I build projects that turn complex biological data — single-cell, sequence, imaging, spatial — into interpretable systems that sharpen hypotheses, guide experiments, and accelerate translation.

Co-founder of Holocyte — a research lab developing JEPA-based world models for single-cell perturbation prediction, aimed at reducing the experimental search space in drug discovery.

• Cell mechanobiology and glycobiology — how glycocalyx composition, conformation, and remodeling participate in mechanotransduction, and how this feedback shapes disease progression in fibrosis.
• Quantitative phenotyping from microscopy — open-source pipelines that extract interpretable per-cell features (glycocalyx organization, YAP localization, focal adhesion morphology, cytoskeletal organization) for cross-condition comparison in perturbation biology.
• Foundation models for cellular response — self-supervised architectures (JEPA, GNN, protein language models) for predicting how cells respond to genetic, chemical, and mechanical perturbations from single-cell and sequence data.
• Translational bioengineering — integrating computational models with experimental workflows to move quantitative tools from the lab toward disease models and drug screening platforms.