Vikas Deep

Vikas Deep

 Ph.D. Candidate, Operations

Contact Information

Kellogg School of Management

.I am a PhD candidate at the Operations department at Kellogg School of Management, Northwestern University where I am fortunate to be advised by Prof. Achal Bassamboo. I have been fortunate enough to collaborate with Prof. Sandeep Juneja (TIFR, Mumbai) and Assaf Zeevi (Columbia)

My research interests lie in statistical inference and experiment design .

Research Projects

  • Learning to Ask the Right Questions: A Multi-armed Bandits Approach
  • Exact optimal fixed-width confidence interval estimation for the mean (Finalist for Best Contributed Theoretical Paper at WSC 2022)

Talks and Poster Presentations

  • Discriminative Learning via Adaptive Questioning : INFORMS 2021, Trans-Atlantic Doctoral Conference LBS 2021, SNC 2022
  • Exact optimal fixed-width confidence interval estimation for the mean: INFORMS 2022, Soon in WSC 2022