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I obtained my PhD in Electrical Engineering and Computer Sciences from UC-Berkeley, with an emphasis in computer vision and machine learning. After PhD, I went to work on high-throughput bioinformatics problems with Gene Myers at Howard Hughes Medical Institute's Janelia Research Campus, and later continued there as an independent investigator in computational neuroscience. After moving to the industrial sector, my work helped create data-driven patient selection and clinical trial enrichment technologies at BlackThorn Therapeutics, two flagship product technologies (SmartVision Image Optimization and Helios Security Anomaly Discovery) at Instart Logic, lead to Perceptual Speed Index (now part of Google Chrome Lighthouse), and won 2017 ACM-SigComm Internet-QoE best paper award. I recently joined LinkedIn Data Science's Applied Research Group in June 2019. When I am not busy designing algorithms to mimic human perception, I enjoy being a dad to my two young kids and perfecting new ways to make them laugh.
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