Vijay Narayanan explains how rapid advances in algorithms, the cloud, the Internet of Things, and data are driving unimaginable breakthroughs in every human endeavor, across agriculture, healthcare, education, travel, smart nations, and more.
Vijay Narayanan heads the algorithms and data science efforts in the Data group in Microsoft, where he works on building and leveraging machine-learning platforms, tools, and solutions to solve analytic problems in diverse domains. Previously, Vijay was a principal scientist at Yahoo Labs, where he worked on building cloud-based machine-learning applications in computational advertising; an analytic science manager in FICO, where he worked on launching a product to combat identify theft and application fraud using machine learning; a modeling researcher at ACI Worldwide; and a Sloan Digital Sky Survey research fellow in astrophysics at Princeton University, where he codiscovered the ionization boundary and the four farthest quasars in the universe. Vijay has authored or coauthored approximately 55 peer-reviewed papers in astrophysics, 10 papers in machine-learning and data mining techniques and applications, and 15 patents (filed or granted). He is deeply interested in the theoretical, applied and business aspects of large-scale data mining and machine learning and has indiscriminate interests in statistics, information retrieval, extraction, signal processing, information theory, and large-scale computing. Vijay holds a bachelor of technology degree from IIT, Chennai and a PhD in astronomy from the Ohio State University.
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