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I am a 3rd year PhD Student at Carnegie Mellon University. I am in the Machine Learning Department in the School of Computer Science and my advisor is Seyoung Kim.

My research interests are in machine learning and computational biology. I am motivated by modern technology that can measure at each molecular level by generating genetic, expression, and protein data. My research focuses on using machine learning to infer biological information, such as associations between genotypes and phenotypes or regulatory relationships between genes, specifically in high dimensional settings.

I recently interned with Jennifer Listgarten and the eScience group at Microsoft Research where I worked on developing efficient statistical methods for testing gene-gene interactions using low-rank matrix tricks.

Previously, I was a Master’s student in Biomedical Engineering at the University of British Columbia in Vancouver, Canada. I was supervised by Robert Rohling and Purang Abolmaesumi in the Robotics and Control Laboratory. I worked on algorithms for CT to ultrasound registration for minimally invasive surgery, specifically partial nephrectomy. And because of that, I have one engineering degree! I did my Bachelor of Computing specializing in Biomedical Computing at Queen’s University in Kingston, Canada.