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 |