![]() I was supervised by Robert Rohling and Purang Abolmaesumi in the Where I worked on developing efficient statistical methods for testing gene-gene interactions usingīefore that, I was a Master’s student in Biomedical Engineering at the University of British Columbia I previously interned with Jennifer Listgarten and the eScience group at Microsoft Research in the Machine Learning Department at Carnegie Mellon University. I was previously a post doctoral researcher at Carnegie Mellon University in the Computational Biology Department with Seyoung Kim. I am interested in advancing machine learning so that we can reliably predict this information in such settings. Regulatory relationships between molecular entities creates significant challenges in machine learning. However, understanding the genetic basis of disease and the Currently, there is an explosion of genome, transcriptome and proteomeĭata available for biological systems. My research interests are in developing machine learning techniques to address problems ![]() I am currently a Data Scientist at GRAIL, Inc where I am working on developing computational methods to analyze diagnostic tests for detecting cancer in its early stages.
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