About
Dr Vikas Deep serves as an Assistant Professor in the Department of Information Systems and Analytics at the National University of Singapore (NUS), specializing in optimization and adaptive learning for online experimentation platforms. His academic foundation includes doctoral training at Northwestern University's Kellogg School of Management under Prof. Achal Bassamboo and undergraduate studies at IIT Delhi.
His educational trajectory:
- M.S. and Ph.D. in Operations Management, Kellogg School of Management, Northwestern University (2019-2025)
- B.Tech. in Mechanical Engineering, Indian Institute of Technology Delhi (2014-2018)
Dr Deep's research employs applied probability and multi-armed bandit frameworks to enhance resource allocation and efficiency in experimentation systems, with primary applications in A/B testing and computerised adaptive testing. His work bridges theoretical probability models with practical implementation on digital platforms, contributing to advancements in data-driven decision-making methodologies within online environments.
No information regarding scientific awards, student advisement, research grants, or laboratory affiliations was provided in the source material.
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