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 scientific research and software engineering.
My doctoral research focuses on modeling genome regulation using large-scale machine learning and large datasets. 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 over 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