Recent News
- Aug 2026Co-chairing the Mid-Career Faculty Consortium at AMCIS 2026, Reno, NV, with Mala Kaul (August 20).
- Jul 2026Named a Shannon Center Mid-Career Fellow at the University of Virginia (2026–2029).
- Jul 2026Led "Vibe Coding: Rapid Research Prototyping with AI", a two-session workshop in UVA's Faculty Upskilling summer series.
- Jul 2026Awarded a 4-VA collaborative research grant with Virginia Tech on AI-driven crop disease detection ($30,000 + $5,000 UVA match).
- Jul 2026Awarded a TYDE Small Seed Grant with Hongru Du and Steven Johnson, "Building Youth Information Diets from Large-Scale Clickstream Data" ($30,000, 2026–2027).
- Jun 2026Invited talk, "AI as Social Actor and Decision Partner: Behavioral Evidence and Design for Human-Centered Systems," Rotterdam School of Management, Erasmus University, Rotterdam (June 8).
- Jun 2026MSBA Capstone global immersion in Helsinki & Tallinn — client presentations and visits to SAP Finland, Bolt, and the e-Estonia Briefing Center.
- May 2026"When Influencers Delegate Replies" published in Information Systems Research (Articles in Advance).
- Apr 2026Invited talk, "AI as Social Actors and Decision Partners: Behavioral Evidence and Design Insights," Stern School of Business, New York University, New York (April 14).
- Mar 2026"WiseMind", a knowledge-guided multi-agent framework for psychiatric diagnosis, published in npj Digital Medicine.
- Mar 2026Invited talk, "GenAI in Healthcare: Impact, Design, and Socio-Technical Change," School of Business, Virginia Commonwealth University, Richmond.
- Feb 2026Invited talk, "When Influencers Delegate Replies: How Social AI Agents Shape User Engagement," Fox School of Business, Temple University, Philadelphia.
- Jan 2026Joined Information Systems Research as Associate Editor.
- Jan 2026Awarded a Fellowships in AI Research (FAIR) grant from the UVA LaCross AI Institute for "LLM-Enabled Abuse in Digital Advertising" ($50,000).
- Jan 2026Began serving as Vice President of the INFORMS Information Systems Society (2026–2027).
- Nov 2025"Inventing with Machines: Generative AI and the Future of Design Science" published in Information Systems Research, 36(4).
- Oct 2025Invited talk, "When Influencers Delegate Replies," Sauder School of Business, University of British Columbia, Vancouver.
- Oct 2025Co-chaired the INFORMS ISS Doctoral Consortium at CIST 2025, Atlanta.
- Oct 2025Awarded a TYDE Seed Grant with Steven Johnson and Maggie Zhang, "Validated Classifier of Mental Health Information-Seeking" ($30,000).
- Oct 2025An advised student received a Best Student Paper Nomination at the INFORMS Workshop on Data Science.
- Sep 2025"Revolutionizing Physician Workflows and Well-being with Generative AI," Clinical AI Symposium, UVA.
- Sep 2025"Automating in High-Expertise, Low-Label Environments" published in MIS Quarterly, 49(3).
- Sep 2025Invited talk, "Automating in High-Expertise, Low-Label Environments," Systems Engineering Department, University of Virginia School of Engineering.
- Jul 2025Postdoc advisee Maggie Zhang (co-advised with Steven L. Johnson) received a Best Student Paper Nomination at the OSU Fisher AI Conference.
- May 2025"Large-scale Generative AI Deployment at UVA Health," Knowledge Continuum, Center for the Management of Information Technology (CMIT), McIntire School of Commerce.
- Apr 2025Awarded a UVA Analytics Resources Award, "Revolutionizing Physician Workflows and Well-being with Generative AI" ($10,000).
- Mar 2025Appointed Secretary/Treasurer of AIS SIGTech (2025–2027).
- Feb 2025Appointed Industry Liaison for the INFORMS College on Artificial Intelligence (2025–2027).
- Dec 2024Appointed to the WITS Board as Industry Liaison (2025–2027).
- Dec 2024Received MIS Quarterly's Outstanding Associate Editor Award.
- Dec 2024Conference Co-Chair, Workshop on Information Technologies and Systems (WITS) 2024 — received the Outstanding Service Award.
- Dec 2024Awarded a 4-VA collaborative research grant, "Building Machine Learning Resilience during Disasters" ($10,000, PI).
- Nov 2024Invited talk, "Automating in High-Expertise, Low-Label Environments," Alfred Lerner College of Business and Economics, University of Delaware.
- Aug 2024Joined the Journal of the Association for Information Systems Editorial Review Board.
- Jul 2024Appointed Academic Director of the M.S. in Business Analytics program, offered jointly by McIntire and Darden.
- Jun 2024Research advisor, IS Research Workshop, College of Business, City University of Hong Kong.
- May 2024Received the Annual Faculty Recognition Award from The Order of Claw and Dagger, University of Virginia.
- Apr 2024Panelist, "Generative AI in Higher Education," Deloitte Symposium on Risk Management and Higher Education, Arlington.
- Mar 2024Awarded a Jefferson Trust grant, "UVAi Vanguard: Transforming UVA's Academic Landscape with AI & LLMs" ($112,800, Co-PI).
- Mar 2024Awarded a TYDE Postdoc Fellowship, "Digital Technology and Youth Mental Health" ($260,000).
- Mar 2024Invited talk, "Automating in High-Expertise, Low-Label Environments," Gies College of Business, University of Illinois Urbana-Champaign.
- Mar 2024Invited talk, "Navigating Social Activism," Mendoza College of Business, University of Notre Dame.
- Dec 2023Named a Poets&Quants Best Undergraduate Professor.
- Nov 2023Awarded a UVA Analytics Resources Award ($8,000).
- Oct 2023Conference Co-Chair, INFORMS Workshop on Data Science.
- Aug 2023Awarded a UVA CTE Thrive Grant ($10,000, Co-PI).
- Aug 2023Invited talk, "Responsible Machine Learning," Saarland University, Germany.
- Jun 2023Appointed Andersen Alumni Associate Professor of IT and Innovation at the McIntire School of Commerce (three-year chaired term, 2023–2026).
- Mar 2023Invited talk, "Building Machine Learning Resilience during Crises," Leeds School of Business, University of Colorado Boulder.
- Jun 2023Research advisor, IS Research Workshop, College of Business, City University of Hong Kong.
- Mar 2022"Individualism during Crises" published in Review of Economics and Statistics, 104(2).
- Mar 2022"Platform Governance Matters" published in Strategic Management Journal, 43(3).
- Oct 2021Best Paper Award, INFORMS Workshop on Data Science.
- Jul 2021Appointed Mod 4 Director of the M.S. in Business Analytics program.
- Apr 2021Invited talk, "TheoryOn," Pamplin College of Business, Virginia Tech.
- Jan 2021Invited talk, "TheoryOn," Sauder School of Business, University of British Columbia.
- 2021Awarded a Databricks Teaching Grant ($10,000; renewed 2022 and 2023).
- 2021Awarded an AWS Research Grant ($6,000).
- 2021Awarded a Google Cloud Research Grant ($5,000).
- Oct 2020Best Paper Award at INFORMS CIST for "Individualism during Crises" — later presented to the federal COVID-19 response team at HHS.
- Oct 2020Invited talk, "Individualism during Crises," Foster School of Business, University of Washington.
- Jun 2020Invited talk, "Individualism during Crises," Carlson School of Management, University of Minnesota.
- Jul 2020"Path to Purpose?" published in Journal of Marketing, 84(4) — finalist for the Shelby D. Hunt/Harold H. Maynard Award.
- Jul 2020Appointed Associate Director of McIntire's Center for Business Analytics.
- Dec 2020"TheoryOn" published in MIS Quarterly, 44(4).
- Dec 2019ISS Design Science Award, INFORMS.
- Oct 2019Invited talk, "A Deep Learning Architecture for Psychometric NLP," Carlson School of Management, University of Minnesota.
- Aug 2018"Make 'Fairness by Design' Part of Machine Learning" published in Harvard Business Review.
- Aug 2018Awarded a National Science Foundation grant (Co-PI; $500,000, UVA share $230,000, 2018–2021).
- 2017Awarded a Microsoft Azure Award from Microsoft Research, "Psychometric NLP for Patient Care and Coordination" ($25,000, 2017–2019).
- 2015Awarded an AWS Research Grant from Amazon, "Ontology Learning from Behavioral Research" ($5,000).
- 2014Received Microsoft's Ship-it Award.
- 2012Received the Teaching Award at the Leeds School of Business, University of Colorado Boulder (awarded to one instructor per semester).
- Jun 2011Awarded the Colorado Linguistic Institute Fellowship.
- 2007Honorable Mention, American Interdisciplinary Contest in Modeling (ICM).
About Me
I am an Associate Professor of IT and Innovation at the University of Virginia's McIntire School of Commerce, a Shannon Center Mid-Career Fellow, and Academic Director of the M.S. in Business Analytics program, offered jointly with the Darden School of Business. My work sits at the intersection of design science and the economics of digital technology: I build AI systems, deploy them in the field, and measure what happens when people work with them. Before joining academia, I was a scientist at Microsoft, where I built large-scale machine learning and AI solutions for core products and services — an industry grounding that still shapes how I build and study AI.
Research
My research focuses on the design, development, and management of artificial intelligence and data analytics systems, with applications in healthcare, marketing, platforms, and public policy.
Work appears in: MIS Quarterly · Information Systems Research · Journal of Marketing · Strategic Management Journal · Journal of Management Information Systems · npj Digital Medicine · Review of Economics and Statistics · ACM Transactions on Information Systems · Harvard Business Review
Awards & Funding
I have received the INFORMS Design Science Award and Best Paper awards from CIST, WITS, and the INFORMS Data Science Workshop, and my research was a finalist for the Journal of Marketing's Shelby D. Hunt/Harold H. Maynard Award in 2020. In 2026 I was named a Shannon Center Mid-Career Fellow at the University of Virginia, following a three-year term as Andersen Alumni Associate Professor (2023–2026).
My research has been funded by the National Science Foundation, Amazon, Google, Microsoft, the 4-VA initiative, the Jefferson Trust, UVA's Thriving Youth in a Digital Environment (TYDE) Grand Challenge, the UVA LaCross AI Institute, and the UVA Data Analytics Center.
Service & Teaching
I am an Associate Editor for Information Systems Research. I was an Associate Editor for MIS Quarterly 2022-2025 (receiving MISQ's Outstanding Associate Editor Award in 2024) and served on the Journal of the Association for Information Systems Editorial Review Board 2024-2025. I serve as Vice President of the INFORMS Information Systems Society, and have co-chaired flagship events including WITS 2024 (Outstanding Service Award), the INFORMS Data Science Workshop 2023, and the INFORMS ISS Doctoral Consortium 2025.
I teach AI and analytics across undergraduate, graduate, and executive programs, and was named a Poets&Quants Best Undergraduate Professor in 2023, received the Annual Faculty Recognition Award from The Order of Claw and Dagger at UVA in 2024, and previously the Teaching Excellence Award at the University of Colorado Boulder in 2012.
Beyond the office
Away from work, I'm a pianist — Level 10 certificate, the highest level for amateur players in China — and an avid hiker.
Selected Publications
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Award
"When Influencers Delegate Replies: How Social AI Agents Shape User Engagement," forthcoming, Information Systems Research — Finalist, Best Presentation Competition Award, Ohio State University AI Conference - "WiseMind: A Knowledge-Guided Multi-Agent Framework for Accurate and Empathetic Psychiatric Diagnosis," npj Digital Medicine, 2026
- "Inventing with Machines: Generative AI and the Evolving Landscape of IS Research," Information Systems Research, 2026, Articles in Advance
- "Automating in High-Expertise, Low-Label Environments: Evidence-Based Medicine by Expert-Augmented Few-Shot Learning," MIS Quarterly, 2025, 49(3), 1049-1094
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Award
"Individualism during Crises," Review of Economics and Statistics, 2022, 104(2), 368-385 — INFORMS CIST Best Paper Award 2020; presented to the Biden Administration COVID-19 Response Team at HHS - "Platform Governance Matters: How Platform Gatekeeping Affects Knowledge Sharing among Complementors," Strategic Management Journal, 2022, 43(3), 599-626
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Award
"Path to Purpose? How Online Customer Journeys Differ for Hedonic versus Utilitarian Purchases," Journal of Marketing, 2020, 84(4), 127-146 — Shelby D. Hunt/Harold H. Maynard Award Finalist -
Award
"TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge through Ontology Learning," MIS Quarterly, 2020, 44(4), 1733-1772 — INFORMS ISS Design Science Award 2019; WITS Best Prototype Award 2016; AWS Research Grant 2015 ($5,000) -
Award
"A Deep Learning Architecture for Psychometric Natural Language Processing," ACM Transactions on Information Systems, 2020, 38(1), 1-29 — National Science Foundation Award, $500,000 (UVA share $230,000), 2018–2021; INFORMS Data Science Workshop Best Paper Nominee 2018; Microsoft Azure Award 2017 ($25,000) -
Award
"Don't Mention It? Analyzing User-Generated Content Signals for Early Adverse Event Warnings," Information Systems Research, 2019, 30(3), 1007-1028 — WITS Best Paper Award 2015; NSF Award 2018 - "Advanced Customer Analytics: Strategic Value through Integration of Relationship-Oriented Big Data," Journal of Management Information Systems, 2018, 35(2), 540-574
- "Make 'Fairness by Design' Part of Machine Learning," Harvard Business Review, 2018
Grants
Federal & Commonwealth of Virginia
- 4-VA Collaborative Research Grant (UVA PI; with Yuan Zeng and Yongfa You, Virginia Tech), "Advancing Tar Spot Detection and Monitoring in Virginia Corn Using Field Observations, Remote Sensing, and Artificial Intelligence," $30,000 + $5,000 UVA matching fund, 2026
- 4-VA Collaborative Research Grant (PI), "Building Machine Learning Resilience during Disasters," $10,000, 2024-2025
- National Science Foundation (Co-PI), $500,000 (UVA share $230,000), 2018-2021
University of Virginia
- Thriving Youth in a Digital Environment (TYDE) Small Seed Grant (Co-PI, with Hongru Du and Steven Johnson), "Building Youth Information Diets from Large-Scale Clickstream Data: A Foundation for Understanding Digital Exposure and Mental Health," $30,000, 2026-2027
- Thriving Youth in a Digital Environment (TYDE) Seed Grant (Co-PI, with Steven Johnson and Maggie Zhang), "Validated Classifier of Mental Health Information-Seeking," $30,000, 2026-2027
- UVA Analytics Resources Award (PI), "Revolutionizing Physician Workflows and Well-being with Generative AI: Field Study on the Adoption and Impacts of DAX Copilot at UVA Health," $10,000, 2025-2026
- Fellowships in AI Research (FAIR) (PI), "LLM-Enabled Abuse in Digital Advertising," LaCross AI Institute, $50,000, 2025-2026
- Thriving Youth in a Digital Environment (TYDE) Postdoc Fellowship (PI), "Digital Technology and Youth Mental Health," $260,000, 2025-2027
- Jefferson Trust (Co-PI), "UVAi Vanguard: Transforming UVA's Academic Landscape with AI & Large Language Models," $112,800, 2024-2026
- UVA Analytics Resources Award (PI), $8,000, 2023-2024
- UVA CTE Thrive Grant (Co-PI), $10,000, 2023
Industry & Research Community
- WITS Feeder Workshop Grant (Co-PI), "CommuGraph: Deep Analytics on Multi-Agent Chat Logs," $1,000, 2025
- AWS Research Grant (PI), $6,000, 2021
- Google Cloud Research Grant (PI), $5,000, 2021
- Databricks Teaching Grant (PI), $10,000, 2021, 2022, 2023
- Microsoft Azure Award (Co-PI), "Psychometric NLP for Patient Care and Coordination," Microsoft Research, $25,000, 2017-2019
- AWS Research Grant (PI), "Ontology Learning from Behavioral Research," Amazon, $5,000, 2015
Program Leadership
- Academic Director, Master of Science in Business Analytics (McIntire School of Commerce & Darden School of Business, 2024–present)
- Mod 4 Director, Master of Science in Business Analytics (2021–present)
Teaching Recognition
- Poets&Quants Best Undergraduate Professor, 2023 (McIntire story)
- Annual Faculty Recognition Award, The Order of Claw and Dagger, University of Virginia, 2024
- Teaching Award, Leeds School of Business, University of Colorado Boulder, 2012 (awarded to one instructor per semester)
- Teaching Award Finalist, Leeds School of Business, University of Colorado Boulder, 2011 (awarded to three instructors per semester)
Teaching
University of Virginia — McIntire School of Commerce · 2014–Present
- 🎓 Undergraduate COMM 4522 Foundations of Machine Learning and AI with Python (3-year avg. rating 4.8/5) How machine learning turns raw data into business decisions: students build predictive and descriptive models in Python — classification, clustering, association rules, and social media analytics — and apply them to real business problems.
- 🎓 Undergraduate COMM 4522 Foundations of Machine Learning and AI with Low-Code (5-year avg. rating 4.6/5) The same machine-learning foundations taught through low-code tools, so students from any concentration can design, evaluate, and deploy AI models without heavy programming.
- 🎓 Undergraduate COMM 4260 Business Analytics (5-year avg. rating 4.6/5) The predecessor of COMM 4522: an introduction to data mining and analytics for evaluating consumer information and enhancing marketing and financial intelligence.
- 🎓 Undergraduate COMM 4261 Big Data (5-year avg. rating 4.7/5) A hands-on tour of the modern data stack: how organizations store, process, and analyze data too large for a single machine — from relational databases and NoSQL to Spark and cloud platforms.
- 📚 Master's GCOM 7280 Big Data (M.S. in Commerce Business Analytics, 5-year avg. rating 4.6/5) Big data technologies and architectures for pre-experience master's students, connecting data engineering choices to the analytics questions businesses actually ask.
- 💼 Professional Master's MS MIT Big Data & Artificial Intelligence (Executive M.S. in Management of IT, avg. rating 4.8/5) Taught for 12 years in UVA's Executive M.S. in the Management of Information Technology, a program for seasoned IT leaders averaging 14 years of professional experience. The course covers how big data platforms and AI applications fit together — and how to evaluate, govern, and champion them inside an organization.
- 💼 Professional Master's GBAC 7216 Managing Big Data (M.S. in Business Analytics, 5-year avg. rating 4.6/5) Taught in the UVA M.S. in Business Analytics, a part-time program delivered jointly by McIntire and Darden for working professionals averaging 7–9 years of experience. The course compares big data with traditional relational systems, then explores Spark, NoSQL, cloud computing, and reference architectures for retrieving, storing, integrating, and analyzing big data — ending with big-data-enabled AI applications.
- 💼 Professional Master's GBAC 7219 Capstone II (M.S. in Business Analytics, co-taught with Rajkumar Venkatesan) The program's culminating experience: student teams apply the full analytics toolkit to a real client problem, presented during the MSBA global immersion — most recently in Helsinki and Tallinn (June 2026), with visits to SAP Finland, Wärtsilä, IQM Quantum Computers, Bolt, Milrem Robotics, the e-Estonia Briefing Center, and the Finnish Institute of International Affairs.
University of Colorado Boulder — Leeds School of Business · 2011–2012
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Award
🎓 Undergraduate Business Intelligence (2011–2012) An earlier undergraduate course on business intelligence and decision support — recognized with the Leeds Teaching Award in 2012 (awarded to one instructor per semester) after being named a Teaching Award Finalist in 2011.
Fellowships & Chaired Appointments
- Shannon Center Mid-Career Fellow, University of Virginia, 2026–2029
- Andersen Alumni Associate Professorship (three-year chaired term), McIntire School of Commerce, University of Virginia, 2023–2026
Research & Best Paper Awards
- Best Student Paper Nomination, OSU Fisher AI Conference, 2025 (postdoc advisee Maggie Zhang; co-advised with Steven L. Johnson)
- Best Student Paper Nomination, INFORMS Workshop on Data Science, 2025 (advised student)
- Best Paper Award Nominee, Workshop on Information Technologies and Systems (WITS), 2022
- Best Paper Award, INFORMS Workshop on Data Science, 2021
- Best Paper Award Nominee, INFORMS Conference on Information Systems and Technology (CIST), 2021
- Shelby D. Hunt/Harold H. Maynard Award Finalist, Journal of Marketing, 2020
- Best Paper Award, INFORMS Conference on Information Systems and Technology (CIST), 2020
- ISS Design Science Award, INFORMS, 2019
- Best Paper Award Nominee, INFORMS Workshop on Data Science, 2018
- Best Prototype Award, Workshop on Information Technologies and Systems (WITS), 2016
- Best Paper Award, Workshop on Information Technologies and Systems (WITS), 2015
Editorial & Service Awards
- Outstanding Associate Editor, MIS Quarterly, 2024
- Outstanding Service Award as Conference Co-Chair, Workshop on Information Technologies and Systems (WITS), 2024
- Outstanding Service as Industry and Prototype Chair, Workshop on Information Technologies and Systems (WITS), 2018
Teaching Awards
- Annual Faculty Recognition Award, The Order of Claw and Dagger, 2024
- Poets&Quants Best Undergraduate Professor, 2023
- Teaching Award, Leeds School of Business, University of Colorado, 2012 (awarded to one instructor per semester)
- Teaching Award Finalist, Leeds School of Business, University of Colorado, 2011 (awarded to three instructors per semester)
Early Career & Industry
- Ship-it Award, Microsoft, 2014
- The Colorado Linguistic Institute 2011 Fellowship, Linguistic Institute, 2011
- Honorable Mention, The American Interdisciplinary Contest in Modeling (ICM), 2007
Professional Service
Editorial Positions
- Associate Editor: Information Systems Research (2026-present)
- Associate Editor: MIS Quarterly (2022-2025) — Outstanding Associate Editor Award (2024)
- Editorial Review Board: Journal of the Association for Information Systems (2024-2025)
Society & Board Leadership
- Vice President: INFORMS Information Systems Society (2026-2027)
- WITS Board Member — Industry Liaison (2025-2027)
- AIS SIGTECH — Secretary/Treasurer (2025-2027)
- INFORMS College on AI — Industry Liaison (2025-2027)
Conference Leadership
- Conference Co-Chair: INFORMS ISS Doctoral Consortium (2025); WITS (2024) — Outstanding Service Award; INFORMS Workshop on Data Science (2023)
- Program Co-Chair: INFORMS Workshop on Data Science (2022)
- Co-Chair: Mid-Career Faculty Consortium, AMCIS (2026)
- Track Co-Chair: ICIS (2024-2025), PACIS (2021) · Mini-Track Chair: AMCIS (2023)
- Industry Talks Chair: WITS (2020) · Industry & Prototype Chair: WITS (2018) — Outstanding Service
- Conference Associate Editor: ICIS (2018, 2020-2023), PACIS (2020), Academy of Management (2025)
- Program Committees: WITS (2016-present), INFORMS Workshop on Data Science (2017-present), CIST (2020-present)
Mentoring & Advisory
- Doctoral Consortium Mentor: INFORMS ISS (2025), CHITA (2025), Academy of Management (2024), AMCIS "Navigating the Job Market" panel (2020)
- Junior Faculty Consortium Mentor: ICIS (2025)
- Research Advisor: CityU IS Research Workshop (2023-2024)
- AI Governance Workshop, American University (2023)
Reviewing
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JournalsConferences
University Service
Program & Center Leadership
- Academic Director, M.S. in Business Analytics, McIntire School of Commerce (2024-present)
- Associate Director, Center for Business Analytics (2020-present)
- Mod 4 Coordinator, M.S. in Business Analytics (2022-present)
University of Virginia
- UVA Provost's AI Task Force (2023-2024)
- Thriving Youth in a Digital Environment (TYDE) Postdoc Committee Member (2024-present)
- AI Guides at UVA (2024-2025)
- Faculty Pilot User: Cogniti Proof-of-Concept Launch — AI Agent for Teaching (2025)
- UVA Interdisciplinary Research Focus Group (2024)
McIntire School of Commerce
- Research Computing Coordinator (2021-present)
- Graduate Program Committee (2023-present)
- ARPT Subcommittee (2023-2026)
- Undergraduate Program Committee (2021-2023)
I design AI and measure its impact — and that work is best done together: with organizations facing real analytics and AI questions, and with scholars across disciplines. Whether you're an industry partner, a fellow researcher, a student, or a journalist, a short note on who you are and what you have in mind is plenty — I read everything, and email is the fastest way to reach me.
Ways to work together
- Industry partnerships. Bring a real analytics or AI problem to a UVA MSBA capstone — student teams of experienced professionals work on your question under faculty guidance — engage with McIntire's Center for Business Analytics on applied AI and analytics, or partner on research: field studies, data partnerships, and evaluations of AI deployments in your organization.
- Research collaboration. I work with scholars across information systems, marketing, healthcare, and public policy on human-centered AI, large language models, and data analytics — and with practitioners on field studies and data partnerships.
- Talks & media. Invited talks, panels, executive education, and media commentary on AI in business, healthcare AI, and analytics education.
Reach me
Email jingjing.li@virginia.edu
LinkedIn linkedin.com/in/jingjingli1
Office Rouss & Robertson Halls 396, 125 Ruppel Dr, Charlottesville, VA 22903