I am a software engineer at Cerebras Systems. We accelerate ML training using wafer scale engines. I acquired my Ph.D. from the Electrical and Computer Engineering Department at the University of Toronto.

My research interests are in Computer-aided designs (CAD), optimization and computational medicine. My Ph.D. research focused on using ML and CAD algorithms in inverse treatment planning for Photodynamic cancer Therapy (PDT). PDT relies on the light activation of photosensitizer drugs that creates cytotoxic reactions leading to cancer cell death mechanisms. The goal of the treatment plan is to determine the optimal number of light diffusers, their positions and their allocated power in order to create patient-specific treatments that minimize the damage to surrounding organs at risk. 

I worked under the supervision of Professor Vaughn Betz.  

Misc: 

In my free time, I like to work out and play tennis, video games and soccer.