About Me
I am a final-year PhD candidate at the University of Toronto (supervised by Dr. Alan Moses and Dr. Jennifer Mitchell), bridging the gap between rigorous research and production-grade software engineering.
My doctoral research focuses on modeling genome regulation using large-scale machine learning. To decode complex biological relationships and overcome severe data sparsity, I develop domain-specific data augmentation strategies, apply advanced model interpretability techniques, and architect generative language models to synthesize novel regulatory sequences.
Prior to my PhD, I spent three years as a software developer at the Ontario Institute for Cancer Research (OICR), engineering robust computational pipelines and full-stack infrastructure. I hold a B.CS. in Bioinformatics (Honours) from the University of Waterloo.
I am currently seeking opportunities to apply my expertise in deep learning and scalable engineering to extract actionable, high-impact insights from complex datasets.
Research Interests
- Deep learning for genomics and transcriptomics
- Generative models for biological sequence design
- Interpretable machine learning for biological discovery
- Scalable bioinformatic pipelines and software engineering