Summary
Hina Bandukwala is a bioinformatician and data scientist with eight years of experience applying computational methods to protein engineering, genomic surveillance, and multi-omic research. Currently at AbCellera in in-silico protein engineering, she pairs a strong molecular biology foundation (MSc in Molecular Biology) with a recent Master's in Data Science from UBC to bridge lab and computational workflows. She has built scalable, reproducible pipelines on HPC (SLURM, Snakemake), managed large sequencing databases, and deployed federated learning and transfer-learning pipelines for medical image tasks. Her work supported province-wide SARS-CoV-2 surveillance and contributed to multiple high-impact publications in regenerative medicine. Known for pragmatic tooling—Hydra, Ray, PyTorch, MongoDB—she focuses on ethically applying AI for social good and improving experimental throughput. Colleagues describe her ability to translate complex analyses into clear visualizations and operational solutions that accelerate discovery.
7 years of coding experience
7 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at The University of British Columbia
Master's degree Molecular Biology, Master's degree Molecular Biology at University of Waterloo