Experience

Pioneer Labs · 2025 – present

Computational biology research at the intersection of genomics, machine learning, and systems biology.

Knowles Lab, Columbia University · 2021 – 2025

Developed computational methods for studying RNA splicing heterogeneity in single-cell data.

Built LeafletSC — Python package for alternative splicing analysis in single-cell RNA-seq using binomial mixture models
Built Isoviz — R package for visualizing splice junctions across transcript isoforms
Talk at MLCB 2023 (Seattle): Investigating RNA splicing as a source of cellular diversity using a binomial mixture model

Kridel Lab, UHN Princess Margaret Cancer Centre, Toronto · May 2019 – July 2021

Functional genomics research focused on lymphoma biology.

Developed NHL-ASCT-PI — Shiny web app for patient risk modeling in non-Hodgkin lymphoma
Contributed to genomic analyses of B-cell lymphoma