Harsh Shrivastava
Senior Applied Scientist
About
Harsh Shrivastava is a Senior Applied Scientist in the AI Architecture and Strategy team at Microsoft Research. His research interests include working with probabilistic graphical models, using inductive biases to design deep learning architectures & high performance computing. He currently works on modeling multimodal datasets from Healthcare, Pharma, Oil&Gas and Finance domains. Before joining Microsoft, Harsh has gained industry experience as a PhD research intern at Google Research/Google Brain, GoogleX, MSR, Xerox PARC and as a budding scientist at Xerox Research labs.
Harsh holds a PhD in Machine Learning, CSE department from Georgia Institute of Technology. He has an undergraduate dual degree in Electronics & ECE with Masters in VLSI circuits from Indian Institute of Technology Kharagpur.