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Mayank Sharan

Applied Scientist II, Microsoft Turing
Redmond, WA, USA

I am an Applied Scientist II in the Microsoft Turing team. I work at the cutting edge of applied AI with large language models, computer vision and much more.

Research: I have broad interests in machine learning and artificial intelligence. Currently, my work focuses on natural language processing, spatiotemporal machine learning, and reinforcement learning. In the past, I have worked with recommender systems, causal inference, and computer vision.

Previously: I completed my Masters with Thesis in Computer Science and Engineering at UCSD under Prof. Rose Yu. Before that, I worked as a Senior Data Scientist at Bidgely. I obtained my Bachelor’s in Computer Science and Engineering, from Indian Institute of Technology, Delhi where I worked with Prof. Mausam and Prof. Rahul Garg.

Updates

Nov 13, 2023 Accepted at SuMob ‘23: Incident congestion propagation prediction using incident reports
Jun 26, 2023 Started work as Applied Scientist II at Microsoft Turing, Redmond
Mar 25, 2023 Completed Master of Science (Thesis Track) in CSE from UCSD
Mar 8, 2023 Successfully Defended Master’s Thesis: Taming the Long Tail of Deep Probabilistic Forecasting
Feb 23, 2022 Accepted at ISUW ‘22: Short Term Load Forecasting for Dynamic Clusters using Deep Learning