I'm an AI/ML engineer with over fifteen years of experience in life sciences. My work spans multiple domains, from genomics and protein structure prediction to computer vision. I'm driven by the belief that computational methods can meaningfully improve how we understand, diagnose, and treat disease.
PyTorch library for parametric dimensionality reduction: t-SNE, UMAP, PaCMAP, TriMap, and CEBRA under a single API.
Python/TensorFlow/Keras implementation of parametric t-SNE for dimensionality reduction.
Protein structure prediction. Contributed deployment and production integration.
Molecular docking with diffusion models.
Lung cancer risk prediction from low-dose CT scans. MIT Barzilay group.
Breast cancer risk prediction from mammography. MIT Barzilay group.
Contributor to the foundational Python scientific computing library.
Wohlwend, Corso, Passaro, Getz, Reveiz, Leidal, Swiderski, Atkinson, Portnoi, Chinn, Silterra, Jaakkola, Barzilay. bioRxiv
Virtanen, Gommers, Oliphant, Haberland, Reddy, et al. Nature Methods (credited under SciPy 1.0 Contributors)
Archer, Ehrenberger, Mundt, ..., Silterra, ..., Fraenkel. Cancer Cell 34(3): 396-410.e8
Gandara, Paul, Kowanetz, ..., Silterra, ..., Shames. Nature Medicine 24(9): 1441-1448
Silterra, Gillette, Lanaspa, et al. J. Infectious Diseases 215(2): 312-20
Valim, Ahmad, Lanaspa, ..., Silterra, ..., Wirth. Am. J. Respiratory and Critical Care Medicine 193(4): 448-459
Katz, Wang, Silterra, Schwartz, Wong, et al. Bioinformatics 31(14): 2400-2402
Herman, Rice, Ribacke, Silterra, Deik, et al. Genome Biology 15: 511