I’m a fourth year PhD candidate in the Bo Wang Lab, Department of Medical Biophysics, at the University of Toronto and Vector Institute. I’m also co-supervised by Kieran Campbell and Michael D. Taylor.

My research involves the development and application of machine learning and computational biology methods for genome sequencing data. During my PhD, I have worked on representation learning for single-cell sequencing data, for tasks such as integration and dynamic modeling. I have also worked with various groups performing single-cell analysis in development and cancer biology settings. More broadly, I am interested in advancing our understanding of human disease through the lens of genome sequencing, computational biology, and machine learning.

I’ve previously interned at Microsoft Research (x2), where I worked on the Antigen Map Project, and The Vector Insitute’s AI Engineering Team where I extended a COVID-19 genome analysis tool that I developed.

Download my CV to see full details of my academic and industry experience.

See my Google Scholar for a complete list of publications.

Please get in touch if you’d like to chat about research and/or collaboration!