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.


Research Group for Spring 2024 (Jan-April)

   PhD students    MS students    BS students     Committee member
   Mutaz Hennawi    Sujit K Kamaraj    Brennan Cook      Noelle Brown (CS PhD): Ethics in Computing
   Janet Ikhile        Kunal Kamtekar      Maxim Lisnic  (CS PhD): Data-driven misinfo
   Nastaran Jadidi        Logan Wood
               



Vineet

vineet.pandey@utah.edu
Curriculum vitae

Teaching
PhD, MS, BS Spring 2024: CS 5968 / 6968
(Link) Designing Novel Computing Systems for Science and Medicine

Office Hours M,W After class MEB 3112

BS, MS Fall 2024 2023 CS 3450 Designing Human-Centered Experiences

Students (at Utah): Our research group will debut with building novel systems for citizen science, telemedicine, and climate informatics with school- and university-wide collaborators.

PhD students (CS or other depts): How might I help with your research? Please email me a summary (five lines to a page), then we'll meet over coffee.
MS, BS students: Interested in doing HCI research? Please email me your interests, skills you'd like to develop, and hopes in working with me.

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 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

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.


The original page was designed by Manjeet Singh Sawhney.