I am motivated and goal-oriented. And I get inspired working with people from a diverse background.
My area of interest lies in applying data-driven methodologies to problem-solving. My doctoral dissertation focuses on the study of pattern generation during early embryogenesis via modeling and single molecule counting. After transitioning into industry, I have used machine learning to solve some real-world problems, including pricing of domain names, discovery of point of interest webpages and physical locations, and contextual sensing on smart devices. In my current role at Microsoft, I am helping to shape the user experience of the Azure Machine Learning product, with a long-term goa...
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