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VUzan-bio/README.md

Biologist specializing in immunology and biologics, with practical experience across R&D, GMP process development, and data science in research institutions and large biopharma (Sanofi, Lonza). I build projects that bridge experimental molecular biology and immunology with computational modeling—turning complex data (single‑cell, sequences, spatial, imaging, organoid‑derived) into predictive systems that guide hypotheses, experiments, and preclinical strategy.

I’m also working on Holocyte — a virtual cell world-model research lab based on JEPA for single-cell perturbation

Research interests

  • Self-supervised genomics — JEPA and language models for learning representations of DNA.
  • Computational molecular diagnostics — ML-guided biosensor design bridging in silico sequence analysis with electrochemical detection.
  • ML for drug discovery — foundation models for predicting cellular responses to perturbations from single-cell transcriptomics.
  • Translational bioengineering — integrating machine learning, molecular biology, and device engineering to move diagnostic and therapeutic technologies to the point of care.

Pinned Loading

  1. guard guard Public

    Computational pipeline for designing multiplexed CRISPR-Cas12a diagnostic panels targeting drug-resistant Mycobacterium tuberculosis

    Python

  2. structural-antibody-binding-gnn structural-antibody-binding-gnn Public

    Predicting how point mutations change antibody–antigen binding affinity (ΔΔG) is central to affinity maturation and developability. This repo explores how far you can go with simple sequence/linear…

    Python 2