Office: LWSN 2149 #13

Email: a[last name]@purdue.edu

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.

news

May 11, 2018 Our paper on learning perturbation models for structured prediction has been accepted to ICML 2018. Pre-print coming soon.
Apr 13, 2018 I am pleased to receive the Cagiantas fellowship for the year 2018-2019 from the Purdue University College of Science.
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.

awards

2018 Received the Cagiantas fellowship from the Purdue College of Science. One of the two receipients of the award for 2018. The citation reads: "The Cagiantas Fellowship was established in December 2016 with a gift from a generous donor to support a senior Ph.D. student who has demonstrated a high level of accomplishment in their research and has participated in activities that have had a positive impact on the climate of their department, University or community."
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)