Hello, I'm Vineet Pandey.

I'm a human-computer interaction researcher. Starting Fall 2023, I will be an Assistant Professor in the School of Computing at the University of Utah.

I build social computing systems. My research supports motivated communities in performing scientific work that is personally meaningful, institutionally relevant, and that advances our understanding of health, disorders, and climate change.

I am currently doing postdoctoral research at MIT with Arvind Satyanarayan. I am exploring novel characterizations of online social movements around clinical trials.

As a Postdoctoral Fellow at Harvard University, I collaborated with multiple rare disorder communities (SCAs, ALS, Ataxia-telangiectasia) and neurologists at Mass General Hospital to advance our understanding of neurological disorders with remote health assessment tools (ACM TACCESS 2023, Brain Communications 2022, The Cerebellum 2021).

During my Ph.D. in Computer Science from UC San Diego, I worked with microbiologists at the American Gut Project and fermenters to support community-led experimentation with novel online platforms (CHI 2021, Learning@Scale 2018, CHI 2017).

My dissertation work was awarded the 2019 School of Engineering Henry Booker Award for Exemplary Ethical Engineering. Defense Video


vineetpa@mit.edu
Curriculum vitae
Slides

Prospective students (at Utah): Our group (that you'll be founding members of) will build novel systems for citizen science, telemedicine, and climate informatics with department- and university-wide collaborators. If you're an undergraduate or MS student interested in doing HCI research, please send me an email with your interests.

Main Projects

Citizen-Expert Collaboration with Tools for Assessing Motor Impairment

At-home Use → Mouse trajectories → Interpretable features → Valid, Reliable Severity Scores
Remote motor performance assessment tools reliably estimate severity of motor impairments with a few minutes of use at home. These systems contribute a novel class of methods to remotely track condition severity without using expert time. At-home deployments have evaluated the tool with three neurological disorder communities.


Clinical Researchers Laboratory for Deep Neurophenotyping at Mass General Hospital · Division of ALS and Motor Neuron Diseases, MGH
Participants Amyotrophic Lateral Sclerosis (ALS) · Ataxia-telangiectasia (via A-T Children's Project) · Spinocerebellar ataxia (SCA) · Myasthenia Gravis (MG)
Slides 2021 Mass General Hospital Ataxia Center Symposium
Writing HCI 2022 TACCESS · 2020 AMIA WISH · 2020 LIMITS · Abstract at Health Data Science Symposium (Smartphones, Wearables, and Health)
Neurology 2022 Brain Communications · 2021 The Cerebellum (June, Issue#3)
Abstracts at condition-specific conferences
ALS 2022, 2021 ALS/MND Abstract, Poster · 2021 NEALS poster· Ataxia 2021 ICAR

Gut Instinct: Citizen-led Experimentation with a Bespoke Social Computing Platform

Popular Intuitions → Hypotheses → Experiments → Novel Scientific Findings

Three built-from-scratch social computing systems--Galileo, Docent, Vanilla GI--enable citizen-led novel scientific work without involving experts. These systems contribute principles to integrate conceptual and procedural guidance in social computing for collaborative complex work like experimentation. The Gut Instinct platform has been tested with field deployments with over 600 participants.


Institutional Scientists American Gut Project · Knight Lab at UC San Diego
Community Scientists Open Humans · Fermenter communities
System Video summary · Code · Live · Data  
Slides 2021 CHI · 2018 MIT Innovation · 2018 ACM Learning at Scale · 2017 ACM CHI   
Posters 2018 Research Expo · 2017 San Diego Maker Faire
Papers 2021 ACM CHI · 2018 CSCW Doctoral Consortium · 2018 ACM Learning at Scale · CHI 2017
News Short NPR interview · UC San Diego Design Lab news story

The original page was designed by Manjeet Singh Sawhney.