Office: LWSN 2149 #13

Email: a[last name]

I am in the job market and am looking for academic/postdoctoral positions starting Spring 2019.

I am a PhD candidate 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.


Apr 8, 2018 I will be in Lanzarote, Spain, from the 8th to the 11th of April for AISTATS 2018.
Dec 22, 2017 Two papers accepted to AISTATS 2018.
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.


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)