I am a Ph.D. student at the University of Maryland, College Park. My research focuses on methods to measure, learn and optimize novelty and diversity. At UMD, I am a member of the `IDEAL Lab', advised by Dr. Mark Fuge. I also routinely collaborate with Dr. John Dickerson in Computer Science.

You can find a list of my publications on Google Scholar and codes on the lab’s Github page. Outside of work, I am one of the organizers of Data Science DC and ACM NY meetup groups. I am also part of the ACM Distinguished Speakers Committee.

Before starting Ph.D., I worked as a Reliability Engineer in Western Australia. I earned my undergraduate and master's degree from Indian Institute of Technology Kanpur, where I worked with Dr. Kalyanmoy Deb.

Latest News

Thesis Proposal
Gave my thesis proposal on "Diversity and Novelty: Measurement, Learning and Optimization". Officially a Ph.D. candidate now.

CSCW 2018
Paper titled "When Crowds Give You Lemons: Filtering Innovative Ideas using a Diverse-Bag-of-Lemons Strategy" accepted at CSCW 2018 to be held in Jersey City, USA.

IDETC 2018
Paper on unpacking creativity metrics accepted for oral presentation at IDETC DTM 2018 to be held in Quebec City, Canada.

MLSS 2018
Selected for Machine Learning Summer School (MLSS 2018) to be held in Madrid, Spain.

HCOMP 2017
Selected for Doctoral Consortium of HCOMP 2017 to be held in Quebec City, Canada on October 23, 2017