Amit Sharma

Amit Sharma is a computer scientist with a passion for building predictive systems and evaluating their impact. His research focus includes designing novel recommender systems and modeling their effect on information diffusion in social networks. Currently pursuing a Ph.D. at Cornell University, his work combines online experiments and large-scale data mining to gain insights into people's preferences and the influence of recommender systems.

Amit has industry experience aligning his research with real-world applications. He has contributed to community recommendation models at LinkedIn, collaborated on enhancing restaurant data at Google, and investigated the impact of recommender systems on e-commerce websites at Microsoft Research.

His educational background includes a Doctor of Philosophy (Ph.D.) in Computer Science from Cornell University, a B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur, and high school studies at Sardar Patel Vidyalaya in New Delhi.

Amit Sharma has held various roles in prestigious organizations such as Microsoft, where he serves as a Senior Researcher. In the past, he has worked as a Researcher, Postdoctoral Researcher, and Intern at Microsoft Research. Additionally, he has experience as a Co-Instructor at Cornell University, a User Experience Research Intern at Google, a Software Engineering Intern at LinkedIn, a Research Assistant at Cornell University, a Research Intern at EPFL, and a Summer Intern at IBM India Research Lab.