Office: LWSN 2149 #13

Email: a[last name]@purdue.edu

I am a PhD student in the Computer Science department at Purdue, advised by Prof. Jean Honorio. My research focuses on developing efficient algorithms, with provable guarantess, for various statistical and machine learning problems. Recently, I have focussed on the problem of learning graphical models and graphical games from data. I am also interested in using machine learning techniques to solve problems in computational biology and other application domains.

Previously, I obtained my Master in Computer Science and Engineering degree from Texas A&M and briefly worked as a software development engineer in the demand forecasting team at Amazon, Seattle.

news

Oct 4, 2017 I received a travel award to attend NIPS’17. I am thankful to the NIPS organizers for their support.
Sep 4, 2017 Our paper on learning (identifiable) Gaussian Bayesian networks in polynomial time and using polynomial number of samples has been accepted to NIPS 2017.
Apr 16, 2017 I received a travel award to attend AISTATS’17 at Fort Lauderdale, FL. I am thankful to the AISTATS organizers for selecting me for the award.
Feb 1, 2017 I will be in Seattle from Feb 1st - Feb 3rd for the Facebook PhD Machine Learning Summit. Thanks Facebook for the invitation.

awards

2017 Travel award to attend NIPS'17
2017 Travel award to attend AISTATS'17
2015 Best paper award, ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB)
2015 Travel award to attend Big Data in Life Sciences workshop (co-located with ACM-BCB'15)