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Amit Sharma
Senior Researcher at Microsoft
Amit Sharma is a Senior Researcher at Microsoft, currently serving as a Principal Researcher at Microsoft Research India. His work primarily focuses on understanding the impact of digital systems on society, particularly through the lens of algorithmic interventions and causal inference. He has been with Microsoft since 2015, progressing through various roles including Postdoctoral Researcher and Researcher, before becoming a Senior Researcher in July 2019 and then a Principal Researcher in September 2021.13
Education and Early Career
Amit Sharma holds a Ph.D. in Computer Science from Cornell University, where he was advised by Professor Dan Cosley. He also completed his undergraduate studies at the Indian Institute of Technology (IIT) Kharagpur, earning a B.Tech. in Computer Science and Engineering.13 His academic background includes significant research contributions during his time at Cornell, where he focused on recommender systems and their effects on user behavior.2
Research Focus
Sharma's research employs data mining and experimental methods to explore how algorithmic recommendations influence user decisions, particularly in e-commerce and social media contexts. He aims to develop methods for estimating the causal impacts of these systems, which are critical as machine learning technologies become increasingly integrated into societal frameworks like healthcare and finance.34 His work has garnered several accolades, including the Yahoo! Key Scientific Challenges Award in 2012 and recognition at the ACM Conference on Computer Supported Cooperative Work.3
Professional Experience
Throughout his career at Microsoft, Sharma has contributed to various projects that analyze the societal implications of technology. His research interests include:
- Designing algorithmic interventions that can positively impact society.
- Understanding how algorithms can be optimized for better decision-making outcomes.
- Investigating the actual versus perceived effects of recommendation systems on user engagement.34
In addition to his research activities, Sharma has also been involved in teaching as a co-instructor at Cornell University, where he helped design a course on recommender systems.1
Amit Sharma's work is pivotal in bridging the gap between technology and its societal implications, making him a notable figure in the field of computer science research.