"The greatest value of a picture is when it forces us to notice what we never expected to see." – John Tukey, 1977

Snapshot Biography

I am a second year PhD student in Mathematics at The University of British Columbia in the beautiful city of Kelowna, Canada. Throughout my PhD, I have had the privilege of working alongside my supervisors Drs. John R.J. Thompson and Warren Hare.

My current research focuses on fairness in machine learning by drawing on perspectives from social theory, philosophy, and sociology to examine how clustering and classification methods can encode or perpetuate structural inequities. I also work on kernel density estimation-based approaches to automatic variable weighting for data clustering, with extensions to mixed continuous, nominal, and ordinal data.

Research Interests

  • Fair clustering and fair machine learning models.
  • Distance metric learning for heterogeneous data.
  • Variable weighting and feature importance for clustering.
  • Nonparametric statistics
  • Statistical software development in R