We are not students of some subject matter, but students of problems.
And problems may cut right across the borders of any subject matter or discipline. ~Karl Popper

I'm a doctoral student in Computer Science at the School of Interactive Computing at Georgia Tech. I work in the Social Dynamics and Wellbeing lab and am advised by Munmun De Choudhury. Previously, I was at International Institute of Information Technology Hyderabad, India where I completed my undergraduate and graduate studies in Computer Science with a research specialization in Humanities.

I am broadly interested in Computational Social Science wherein I apply methods from statistical modeling, machine learning, and natural language processing to study human behavior as manifested on online social systems and derive insights specific to health and wellbeing. My research explores the role of social media as a mental health intervention platform. In one line of research, I study how social media platforms facilitate behaviors around stigmatizing mental health challenges through self-disclosure, social support and social capital. In another line of research, I develop computational methods to inform clinical interventions through early identification of risk markers and prediction of adverse outcomes. Along this exploration, I care deeply about the validity (or invalidity) of online measurements of behavior and the implications of research to all stakeholders.


May 2019 - I am super pumped to join Facebook as a Core Data Science intern this summer.

May 2019 - I gave a talk at CHI on methodological gaps in mental health predictions based on social media. This paper was a personal milestone and is a favorite among others. You can check out the paper in the publications section of the website.

Dec 2018 - I am thrilled to be selected to participate in the Computing Research Association (CRA-W) Grad Cohort Women program (2019) in Chicago.

Dec 2018 - Our latest paper "Methodological Gaps in Predicting Mental Health States from Social Media: Triangulating Diagnostic Signals." has been accepted for publication at CHI 2019. Yay! The camera ready version is now online.

May 2017 - I am excited to join the Machine Intelligence and Data Science (MINDS) group at the University of Southern California‘s Information Sciences Institute to work with Prof. Emilio Ferrara. I will be working on forecasting evolving cyber threats using novel, unconventional data sensors.