Hello, I'm Vineet Pandey.

I'm a Human-computer interaction researcher.
I design, build, and evaluate social computing systems.

The current approach of relying solely on institutional experts to create knowledge is insufficient to meet the scale, diversity, and novelty of people’s needs. To answer this fundamental societal and intellectual challenge, I have created techniques and built systems that embody Community Computation. Community Computation provides an alternate vision for massive internet platforms where global communities need not just donate data to answer experts’ questions. Rather, they perform complex knowledge work themselves.

I'm on the job market for academic, research, or design positions.
Curriculum Vitae
Research Statement
Teaching Statement
Diversity Statement
Brief Bio

Three representative papers


Postdoctoral Fellow at Harvard University

With Krzysztof Gajos (Computer Science, Harvard) and Dr. Anoopum Gupta (Laboratory for Deep Neurophenotyping, Neurology, Mass General Hospital), I'm developing platforms that support people with disorders, caregivers, and clinical researchers in creating novel, useful knowledge about rare disorders. Our current web-based tool accurately and reliably estimates motor impairments in a neurological rare disorder with a few minutes of unsupervised use from home.

Ph.D. in Computer Science from UC San Diego.

My dissertation research created scalable techniques for integrating learning and working for complex activities like scientific experimentation. My research platform Gut Instinct has been used by over 600 people from 30 countries to create novel hypotheses, design experiments, and replicate known results. I was advised by Scott Klemmer at UC San Diego Design Lab. I collaborated closely with Rob Knight and the excellent community of microbiome researchers and fermenters in San Diego.

Side profile of a man smiling at nothing in the golden light

vineet@seas.harvard.edu

Harvard University

Design Lab
Google Scholar
Linkedin

Dissertation
2019 School of Engineering Henry Booker Award for Exemplary Ethical Engineering
Defense Slides
Defense Video

Travel and Talks ACM CSCW · 3rd Annual Health Data Science Symposium
Program Committee ACM CHI · ACM CSCW · ACM COMPASS · ACM Designing Interactive Systems · ACM Creativity & Cognition · LIMITS · ACM Learning at Scale
Guest Lecture USC · Northwestern · Harvard
Organizing ☕ Tea with Interesting People at Harvard HCI

Main Projects

Citizen-Expert Collaboration with Tools for Assessing Motor Impairment

At-home Use → Mouse trajectories → 32 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.
Work in progress; Papers in Preparation.


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)
System Try it »(Beta - mail for access)
Slides 2021 Mass General Hospital Ataxia Center Symposium
Posters 2021 ALS/MND · 2021 NEALS · 2020 AMIA WISH
Writing HCI 2022 In Submission · 2022 In Submission · 2020 AMIA WISH · 2020 LIMITS · Abstract at Health Data Science Symposium (Smartphones, Wearables, and Health)
Neurology 2021 The Cerebellum (June, Issue#3)
Abstracts at condition-specific conferences ALS 2021 ALS/MND abstract · 2021 NEALS · Ataxia 2021 ICAR (In submission)

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.

Full Papers
For reference material (e.g. bibtex entries), please try Google Scholar.

at home
At-home Use of a Computer-based Pointing Task Accurately and Reliably Estimates Motor Impairments
2022. In Submission
Vineet Pandey, Nergis C. Khan, Anoopum S. Gupta, Krzysztof Z. Gajos

at home
Understanding Clinician Perspectives to Identify Opportunities for Telemedicine Beyond COVID-19
2022. In Submission
Hannah Studd, Krzysztof Z. Gajos, Anoopum Gupta, Vineet Pandey, Maia Jacobs

at home
Constructive Activities for People to Develop Their Creative Scientific Insights
2022. In Preparation
Vineet Pandey, Tricia Ngoon, Sam Lau

free living
Free-living motor activity monitoring in ataxia-telangiectasia
2021 The Cerebellum (June, Issue#3)
Nergis C Khan, Vineet Pandey, Krzysztof Z Gajos, Anoopum S Gupta

galileo
Galileo: Citizen-led Experimentation using a Social Computing System
2021 ACM CHI
Vineet Pandey, Tushar Koul, Chen Yang, Mad Price Ball, Bastian Greshake Tzovaras, Daniel McDonald, Rob Knight, Scott Klemmer
Teaching Guest Lecture at Northwestern (COMP_SCI 496: Interactive Systems for Health Behavior Change) by Maia Jacobs


Ways of knowing
in the 21st century

AGP
Citizen-led Work using Social Computing and Procedural Guidance
2019. Ph.D. Dissertation
Vineet Pandey
2019 School of Engineering Henry Booker Award for Exemplary Ethical Engineering

gut instinct
Gut Instinct: Creating Scientific Theories with Online Learners
2017 ACM CHI
Vineet Pandey, A. Amir, J. Debelius, Embriette Hyde, Tomasz Kosciolek, Rob Knight, Scott Klemmer

concerto
Concerto: A High Concurrency Key-Value Store with Integrity
2017 ACM SIGMOD
Arvind Arasu, Ken Eguro, Raghav Kaushik, Donald Kossmann, Pingfan Meng, Vineet Pandey, Ravi Ramamurthy
News: CSE UCSD
Teaching Taught at UIUC and Brown

Framing Feedback logo
Framing Feedback: Choosing Review Environment Features that Support High Quality Peer Assessment
2016 ACM CHI
Catherine M. Hicks, Vineet Pandey, C. Ailie Fraser, Scott Klemmer
Poster (Crystal, Rachel) · Slides ·  News
Teaching Taught at CMU (05-499A / 05-899A: Designing large-scale (peer) learning systems) and Northwestern (EECS 497: Peer Grading)


integer
Integer Representations towards Efficient Counting in the Bit Probe Model
2014 Journal of Discrete Algorithms 2014; 2011 TAMC
Gerth S. Brodal, Mark Greve, Vineet Pandey, S. Srinivasa Rao
Teaching Part of Comps requirement at Sewanee

Shorter Writing (Extended Abstracts, Workshops)

Telemedicine
Home speech and coordination measurement in spinocerebellar ataxias and multiple system atrophy
(To submit) 2022 Celebration of Science at Mass General Hospital
Nicole M. Eklund, Jessey Ouillon, Vineet Pandey, Akansha Pandey, Christopher D. Stephen, Jeremy D. Schmahmann, Krzysztof Z. Gajos, Jeremy Edgerton, Anoopum S. Gupta
At-home use of a computer-based tool
3rd Annual Health Data Science Symposium (Smartphones, Wearables, and Health)
Vineet Pandey, Jessey Ouillon, Krzysztof Z. Gajos, Anoopum S. Gupta

Using Active Digital Phenotyping to Quantify Function and Cognition in Amyotrophic Lateral Sclerosis (ALS)
2021 Northeast Amyotrophic Lateral Sclerosis Consortium (NEALS)
Zoe Scheier, Alison P. Clark, Mackenzie Keegan, Kelley Erb, Evan Remington, Sheena Chew, Roland Brown, Jessey Ouillon, Vineet Pandey, Krzysztof Z. Gajos, Anoopum S. Gupta, Katherine M. Burke, James D. Berry

Citizen Science

Transitioning the American Gut Project to the Microsetta Initiative
2018 American Society of Microbiology
Daniel McDonald, Alexander Aksenov, Alexey Melnik, Pieter Dorrestein, Larry Smarr, Rashmi Sinha, Vineet Pandey, Scott Klemmer, Rob Knight

Social Computing and Online Learning

Integrating Citizen Science with Online Learning to Ask Better Questions
2016 AAAI HCOMP
Vineet Pandey, Scott Klemmer, Amnon Amir, Justine Debelius, Embriette Hyde, Tomasz Kosciolek, Rob Knight

This website is heavily inspired from Arvind Satyanarayan's webpage. The original page was designed by Manjeet Singh Sawhney.

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