Email: ananya@cs.toronto.edu
Twitter: @Ananyabha
LinkedIn: ananya-bhattacharjee
Github: Ananya-Bhattacharjee
Google Scholar: Ananya Bhattacharjee
Hi!
I am Ananya Bhattacharjee, a Ph.D. candidate in Computer Science at the University of Toronto. I study, design, and build interactive, AI-driven interventions that can dynamically adapt to the individual and social contexts of users. These interventions broadly aim to promote psychosocial wellbeing—the overall state of an individual’s mental, emotional, and social health. Drawing on insights from surveys, interviews, and field experiments, I design interventions that employ generative AI and reinforcement learning to adaptively support users' evolving needs and contexts. The interventions I deploy can take many forms, including web platforms that simulate peer support, mobile applications that promote reflection or assist in managing stress, and text messaging programs that alleviate symptoms of depression and anxiety.
My advisor is Dr Joseph Jay Williams. My PhD committee members also include Dr Syed Ishtiaque Ahmed, Dr Alex Mariakakis, Dr Rachel Kornfield, and Dr Mary Czerwinski.
I am entering the job market this year, seeking tenure-track academic and industry researcher positions. Here are my CV and a version of my research statement.
Highlights & Impact:
I have published 14 first-authored papers (20+ total) in venues such as CHI, CSCW, TOCHI, AAAI HCOMP, and JMIR. My work has been recognized with one Best Paper Award and two Best Paper Honorable Mention Awards at CHI. These publications and others have earned me various fellowships, including Schwartz Reisman Graduate Fellowship, Wolfond Fellowship, and Inlight Research Fellowship.
I contributed to the development of the Small Steps SMS program — a two-month intervention to help people manage anxiety and depression symptoms — which has reached over 5,000 users in North America. Shortened versions and modular components of the intervention have been deployed to another 5,000 users. This collaboration involved the University of Toronto, Northwestern University, Microsoft Research, and Mental Health America.
I designed and launched several large-scale online interventions that have supported over 2,000 students in the Greater Toronto area in achieving academic goals and improving psychological wellbeing.
My research on personalizing the communication traits of conversational agents has been directly applied by Microsoft AI to incorporate personality traits into Copilot. Additionally, this work has influenced the user interaction features in other Microsoft products, including Xbox.
My research on digital support interactions has driven policy changes at two major helplines: Partnership to End Addiction in the USA and Kaan Pete Roi in Bangladesh.
Recent News
September 2024: Our story-based intervention got selected for the Uplift the web challenge.
May 2024: Started my internship in Microsoft Research.
April 2024: Our CHI 2024 paper got the Best Paper Honorable Mention award. My third award in CHI.
April 2024: Received the Inlight Fellowship.
March 2024: Paper accepted in CSCW 2024.
Upcoming Travels
November 9 - 13, 2024: CSCW 2024, Costa Rica.
Recent Talks
MIT Media Lab - October 28, 2024
MILA - October 31, 2024