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. Starting Spring 2025, I am also a Responsible AI Faculty Fellow at the university.

I build human-centered computing tools that expand and improve the interface between communities and institutional experts, especially in science and medicine. My research supports motivated communities in performing scientific and medical work that is personally meaningful, institutionally relevant, and that advances our understanding of health, disorders, and public involvement in institutional processes. By intervening at three levels––individual tools, social platforms, and institutional processes––my research finds direct applications in digital health and citizen science. All of my research builds on collaborations with real-world communities and institutional experts to design new ways of creating and acting on evidence.

My research has been supported by a Planning Grant from the National Science Foundation (NSF) Finders Foundry initiative, a three-year faculty fellowship from the Responsible AI Initiative, a seed grant from the Mountain West Microbiome Alliance (MoWMA), two seed grants in healthcare from the Responsible AI Initiative, support for integrating AI in HCI education from the Price College of Engineering, and support from the Office of Undergraduate Research for Summer Program (SPUR) and Semester Undergraduate Research (UROP).


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 re-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, Brain Communications 2023, The Cerebellum 2022).

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. My dissertation was awarded the 2019 School of Engineering Henry Booker Award for Exemplary Ethical Engineering.
(ACM CHI 2021, Learning@Scale 2018, ACM CHI 2017, Defense Video).

I received my BS in Computer Science from BITS Pilani, India. I did my undergraduate thesis developing data structures for representing integers for efficient arithmetic operations in the bit probe model. I was advised by Srinivasa Rao Satti.
(ACM Journal of Discrete Algorithms 2013).


Recent work


Published / Presented
2026
Sujit K. Kamaraj Paper: Crossroads: A Self-Administered Digital Cognitive Assessment for Older Adults via Fine-Finger Tracking on Touchscreen-based Devices. Upcoming at ACM ASSETS 2026, Porto, Portugal

Janet Ikhile Paper: Understanding Movement Disorder Specialists’ Workflow for Designing Digital Health Tools. ACM Transactions on Computing for Healthcare Special Issue on Human Centered Computing in Healthcare, 2026

Sujit K. Kamaraj Paper: Investigating the Process-Platform Gap: How a Patient Community’s Efforts Teach us About the Limits of Social Platforms in Supporting Institutional Processes. ACM GROUP 2027, St Simons Island, Georgia, USA

Nastaran, Megan Workshop: Designing Participatory AI for Pregnancy Information-seeking across Personal Networks and Social Media. Workshop on Participatory AI Across Care, Community, and Policy, ACM CSCW 2026, Salt Lake City, UT, USA

Sujit K. Kamaraj Workshop: Documentation Traps in Classroom Settings. Workshop on Contribution, Originality, and Accountability in Agent-Mediated Collaboration, ACM CSCW 2026, Salt Lake City, UT, USA

Teddy Wright Poster: TBD. ACM Collective Intelligence, 2026, Virginia Tech, Washington, D.C, USA

Nastaran, Sujit Abstracts: The social life of scientific visualizations: How a patient community reframes scientific visualizations for policy advocacy +
Teaching with Machines: How Instructors Are Navigating Opportunities and Challenges of Generative AI
.
10th Digital Humanities Utah Symposium (DHU10) 2026, Ogden, UT, USA


2025
Nastaran Jadidi Paper: Rhetoric and linguistic strategies in an online advocacy movement
ACM Collective Intelligence 2025, San Diego, CA, USA


Carly, Nastaran Extended Abstract, Poster: Left to their own devices: How people with ALS use digital platforms as advocacy space. ACM ASSETS 2025, Denver, CO, USA
Also, First Prize in Posters, Data Exploration and Learning for Precision Health Intelligence DELPHI Symposium, University of Utah

Janet Ikhile Abstract: Supporting Movement Disorders Specialists with Digital Tools that Integrate with their Workflows. Movement Disorder Society International Congress 2025, Honolulu, HI, USA

Nastaran, Sujit Abstracts, Posters: Engaging scientific authority for participatory decision-making + Cognitive Profiles Using Fine-Finger Performance on Touchscreens. Conference for Advancing Participatory Sciences 2025, Portland, OR, USA

Nastaran, Carly, Asma, Sujit Abstract, Poster: One Size Does Not Fit All: Two Approaches to Better Support Women in Understanding and Managing their Health.
First Prize in Posters, Women's Health Symposium, University of Utah
2024
Nastaran Jadidi Abstract: A spectrum of stance: How non-expert communities communicate with institutional experts on digital platforms. 8th Digital Humanities Utah Symposium (DHU8) 2024, Salt Lake City, UT

Research Group for 2026 Spring (Jan-May)


PhD students
Sujit K Kamaraj (web)
Fellowship, Responsible AI (link) 2025-
How might AI-assisted tools augment design and human-computer interaction education to make them accessible to all?

Mutaz Hennawi (web)
PhD Fellowship, JUST
2024-
How might we design smartphone-based interactive tasks to assess cognitive impairments with a few minutes of use?
Janet Ikhile (web)
2023-
Does fine-finger tracking on touchscreens yield reliable, valid, actionable knowledge for telemedicine and clinical work in movement disorders?
Nastaran Jadidi (web)
2023-
How might we design sociotechnical systems that support effective deliberation among institutional experts and affected communities?
   
   
BS students For Independent Study (4950) / Thesis (4940 and 4970) /
Capstone / UROP / SPUR
Sieun (Stella) Shin
(with Janet, Nastaran)
BS Psych
How do long-term experiences of everyday technology evolve for people with neuro-degenerative disorders?
   

2026 Spring Our group

2025 Fall
Our group

2025 Summer
Our group
2025 Spring
Our group
2024 Fall
Our group
2024 Summer
Our group
2024 Spring
Our group
2023 Fall
Our group

Group Alumni


MS students
Asma Khan Computing BS MS: Communicative work in clinical care
Jaskehar Sekhon CS BS MS: Qualitative data coding with AI (w/Professor Sara Yeo)
Carly Atwell Computing BS MS: Characterizing a rare disorder community's engagement with regulators → Qualcomm, Austin
Jenny Yijun Zhan  MSD: Designing software for caregiver-validated remote health assessments
→ Production Engineer, Meta
Gunasekhar Athuluri CS MS: Visualizing institutional datasets for patient-led hypothesis-testing

BS students
Teddy Wright CS BS (SPUR):
ACM CI poster
Yuvraj Malik CS BS (UROP): Practice effects in touchscreen-based health assessments, and
Repurposing bioinformatics tools/datasets for patient-led research
Diya Mandot CS BS MS: Qualitative data coding with AI (w/Professor Sara Yeo)
Megan Genetti BS CE: Which information-seeking strategies do pregnant women use?

NSF REU: Research Experiences for Undergrads: Intelligent Computation (Summer)

Alex Goff (CS, University of Utah)
Hannah Larsen (CS, University of Utah) → CS MS student, University of Utah
Vivian Zheng (CS, Stony Brook, NSF REU)
Belén Edgar (CS, Northwestern)
Timi Omoteso (CS, Georgia Tech) → CS MS student, Georgia Tech

Price College Engineering Scholars Program

Logan Wood (CS, Spring 24)
Kunal Kamtekar (CS, Spring 24)
Olivia Styler (CS, Spring 25)

High School students
Price College High School Summer Research Internship Kevin Siju Eappen (Hillcrest High School, Summer 25)
Om Sanghvi (Hillcrest High School, Summer 25)
Lincoln Gierisch (Itineris Early College High School, Summer 24)
Silas Fay (Academy for Math, Engineering and Science, Summer 24)
University of Utah Science & Engineering Fair Lavanya Mohnani (Hillcrest High School, Spring 24).
First Prize at Computer Science & Applied Computational Methods
   

Current Committee member (PhD, MS, BS)


Wageesha Bangamuarachchi TBD
Computing PhD; Advisor: Jason Wiese

Rebecca Moore
TBD
Computing PhD; Advisor: Jason Wiese

Caden Hamrick

TBD
ECE PhD; Advisor: Jacob George

Previous
Maxim Lisnic
Designing Resilient Visualizations Toward More Accurate Data Discourse
Computing PhD; Advisors: Marina Kogan, Alex Lex

→ Assistant Professor, Worcester Polytechnic Institute (WPI), MA
Noelle Brown
Teaching Computing Ethics through Technical Details
Computing PhD; Advisor: Eliane Wiese

→ Assistant Professor/Lecturer, University of Utah, UT

Sujit K. Kamaraj

(Chair) CS MS: Understanding Cognitive Activity via Fine-Finger Tracking

→ PhD student, University of Utah

Brennan Cook
(Chair) Data Science BS: Optimal Strategies in Basketball
→ Product Specialist, Jump.ai

Naman Rastogi

CS MS: Platform Migration in Online Communities
Semil Jain CS MS: Citizen Science on CloudLab
Khawar Murad Ahmed Computing MS: Mixed-methods studies for characterizing online discourse
   


Vineet

vineet.pandey@utah.edu
Curriculum vitae

Teaching
Fall 2026, 2025, 2024, 2023 BS, MSD
CS 3540 Designing Human-Centered Systems
: Principles, practices, and prototypes in human-computer interaction
(Course on Canvas) Room: TBD
Office Hours M,W after class (Walk and talk!)

Spring 2027, 2025 PhD, MS, BS
CS 5968 / 6968 Designing Digital Health Systems Multidisciplinary class on building tools and platforms for doctors, patients, caregivers. (Link)

Spring 2024 PhD, MS, BS
CS 5968 / 6968 Designing Citizen Science Systems Multidisciplinary class on designing tools and techniques for beneficial public participation in science (Link)

Students (at Utah):
Our research group is building novel systems for digital health and telemedicine with school- and university-wide collaborators across neurology, microbiome, communication, and more. We have plenty of opportunities to work with communties, do healthcare research, and code code code.

PhD students (CS or other depts):
How might I help with your research? Please email me a summary (three lines to a page), then we'll meet over coffee.

MS, BS students:
Interested in doing research in human-computer interation? Please email me your interests, skills you'd like to develop, and hopes in working with me. Research can be for class credits / capstone / undergraduate thesis. Also, please apply to the excellent UROP and SPUR programs at the university!


The original page was designed by Manjeet Singh Sawhney.