Summary
Manish Gupta is a research-driven Principal Applied Scientist at Microsoft Bing and an adjunct faculty with over a decade of experience bridging academic rigor and product-focused machine learning. He holds a PhD from UIUC under Jiawei Han and has published 150+ refereed papers, filed 12 patents, and authored two books on outlier detection and verbose-query IR, reflecting deep expertise in data mining, NLP, and information retrieval. At Microsoft he has shipped entity-linking and medical-prediction solutions and earlier worked on social media analytics, temporal graph representations, and query-entity matching. He teaches advanced courses at IIIT-Hyderabad and ISB, mentoring projects that turn complex research (e.g., temporal outlier detection and tweet representation models) into practical tools. Known for translating theoretical advances into usable systems, he combines a strong publication record with hands-on product impact across search, healthcare, and social media domains.
10 years of coding experience
10 years of employment as a software developer
Indian Institute of Technology Bombay
PhD Data mining Computer Science, PhD Data mining Computer Science at University of Illinois Urbana-Champaign
B.E. Computer Science, B.E. Computer Science at University of Mumbai