Hello, I'm Vineet Pandey.
I'm a human-computer interaction (HCI) researcher and an Assistant Professor in the Kahlert School of Computing at the University of Utah.
I build social computing systems that expand and improve the interface between communities and institutional experts - especially in science and medicine. 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.
All of my research builds on collaborations with real-world communities and institutional experts to design new ways of creating and acting on evidence.
As a Postdoctoral researcher at MIT (2022-23), I explored novel characterizations of online social movements around clinical trials in neurodegenerative disorders - in collaboration with Arvind Satyanarayan (HCI, Visualization) and Graham Jones (Cultural and Linguistic Anthropology).
(First paper in preparation)
As a Postdoctoral Fellow at Harvard University (2020-22), I collaborated with neurologists at Mass General Hospital and multiple rare disorder communities (SCAs, ALS, Ataxia-telangiectasia) to advance our understanding of neurological disorders with remote health assessment tools.
(ACM TACCESS 2023, The Cerebellum 2022, Brain Communications 2023).
During my Ph.D. in Computer Science from UC San Diego (2013-19), I worked with microbiologists at the American Gut Project and fermenters to support community-led experimentation with novel online platforms. I was lucky to receive wisdom from Jim Hollan, Rob Knight, and Don Norman.
(ACM CHI 2021, Learning@Scale 2018, CHI 2017, Defense Video)
My dissertation was awarded the 2019 School of Engineering Henry Booker Award for Exemplary Ethical Engineering.
PhD students | Students trying me out | Committee member |
---|---|---|
Nastaran Jadidi | Darshan Shimpi (CS MS) | Noelle Brown (CS PhD): Ethics in Computing |
Adaze "Janet" | Naman Rastogi (CS MS) | Maxim Lisnic (CS PhD): Data-driven misinfo |
Mutaz Hennawi (Spring 24) |
Main Projects
Citizen-Expert Collaboration with Tools for Assessing Motor Impairment
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 2023 TACCESS · 2020 AMIA WISH · 2020 LIMITS · Abstract at Health Data Science Symposium (Smartphones, Wearables, and Health)
Neurology 2023 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
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 ·
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.