Active collaborators across Pitt Health Sciences and beyond, the UPMC clinical care setting, and the external advisory board that guides the center's direction.
Leadership
Physicist-turned-physician; directs PITTCARE and leads Innovation & Strategic Initiatives for the department.
Family physician and Clinical Informatics Fellowship faculty, grounding PITTCARE's work in day-to-day clinical practice.
Leads PITTCARE's primary research agenda in Intelligence-Tech and machine learning for primary care, EHR analytics, and Intelligence-Tech ethics.
Active collaborators
Organized by home school. Each collaboration is active today — this isn't a wish list.
Chair of Biomedical Informatics; PITTCARE's founding partnership (2022, ABFM-funded). Also directs the CCAI, developing and validating AI-powered clinical decision support. Holds the UPMC Endowed Chair in Biomedical Informatics. 200+ peer-reviewed publications; Fellow of AMIA, ACMI, and IAHSI. Contributed to the National Academies' 2025 report on race and ethnicity in biomedical research. The CCAI's mission — developing AI algorithms for clinical decision support, validating them, ensuring fairness, and navigating FDA SaMD approval — aligns directly with PITTCARE's primary care research agenda.
Leads CPACE, Pitt/UPMC's center for AI development and validation in pathology and lab medicine. CPACE builds tools; PITTCARE doesn't — where the two connect is downstream, validating Intelligence-Technology specifically in primary care. Also Executive Vice Chair of Computational Pathology & Informatics at UPMC. Built AI-ML platforms including MILO, STNG, Pitt-GPT+, WSI Genie, and Nebulon-GPT, several licensed to industry and academic institutions. Senior Editor of AI for Modern Pathology. CPACE's focus is pathology/lab-medicine tool development; PITTCARE's is primary care validation — the relationship gives PITTCARE a direct line to state-of-the-art Intelligence-Technology infrastructure already built at Pitt.
Inaugural director of Pitt's newly formed Institute for Bioethics — the formal partner grounding PITTCARE's Ethics of Intelligence-Technology pillar. UPMC Endowed Chair for Ethics in Critical Care Medicine. Named the Institute's inaugural director in 2026; leads its Program in Clinical Ethics and Center for Research Ethics. His own research covers surrogate decision-making and prognosis communication in critical illness, including a landmark family-support trial in NEJM. Elected Fellow, Hastings Center and ASCI.
Directs HexAI, bringing explainable AI to musculoskeletal care — where UPMC primary care sees 53% more MSK patients than orthopedics, yet nearly all Intelligence-Technology development targets the surgical setting. PhD in Computer Science (Wisconsin); 45+ peer-reviewed publications. Also Director of Scientific Affairs at CPACE and chairs the Pitt AI Summer School. In May 2026, joined Dr. Visweswaran on a visit to Malmö University to explore trustworthy/sustainable AI collaboration — bridging PITTCARE's informatics and explainability agendas.
Directs PittNAIL, Pitt's clinical NLP lab; NLP Lead for the ENACT Network that underlies PITTCARE's CCES service. Co-authored the widely cited GREAT PLEA ethics framework for generative AI in health care. PittNAIL develops NLP and generative AI methods that turn unstructured EHR text into query-ready data. Separately from PITTCARE, published a 2026 JAMIA paper with Dr. Visweswaran applying multi-agent LLMs to secondary headache diagnosis — noted here as an example of the caliber of work his PITTCARE collaborators bring with them.
Uses multi-agent AI to address food security, health care, and poverty — with a track record of real-world deployment, not just theory. 2026 Amazon Research Award; 2024 Allen Newell Award. PhD in Societal Computing, Carnegie Mellon. Directs the Nara Lab, which scopes, deploys, and evaluates AI solutions for public sector organizations — a deployment philosophy directly aligned with PITTCARE's emphasis on Translation, particularly for underserved and safety-net populations where most Intelligence-Technology tools go untested.
Clinical care
Clinical care is delivered by UPMC. The figures below describe the scale of UPMC's ambulatory primary care.
Who provides primary care at UPMC
UPMC Primary Care gives patients access to a network of hundreds of family and internal medicine doctors and specialists at more than 100 locations across Pennsylvania, New York, and Maryland. Learn more about UPMC Primary Care ↗
External advisory board
Independent experts, external to the University, who meet individually with the center director once a year and convene together each summer. No committees — just sustained, expert perspective.
Represents UPMC Enterprises, UPMC's innovation, commercialization, and venture arm — investing in and building health care technology across a $28B integrated system. Gives the board a direct line to how Intelligence-Tech tools reach commercial deployment. Works on investments in early-stage health care technology companies and on launching new businesses built on advances made at UPMC. Previously worked at Boston Consulting Group, in corporate development at The Brink's Company, and at American Capital. MBA, Harvard Business School.
Leads the American Board of Family Medicine's research enterprise and co-leads its Center for Professionalism and Value in Health Care. Previously directed the Robert Graham Center for Policy Studies in Family Medicine; elected to the National Academy of Medicine in 2016. Author of 150+ peer-reviewed publications, with a research focus on access to care for underserved populations, health workforce and training, and spatial analysis. Developed HealthLandscape, a data engagement platform funded in part by the federal UDS Mapper contract. Has served in national roles with the Society of Teachers of Family Medicine, NAPCRG, and the Council on Graduate Medical Education. Fellow of the American Academy of Family Physicians. MD, University of North Carolina; MPH, Harvard.
Chairs the Department of Health Systems and Population Health Sciences at the University of Houston's Tilman J. Fertitta Family College of Medicine. Expert in using geospatial techniques and community resources to address unmet social needs in primary care. Specializes in applying neighborhood deprivation indices to primary care delivery and in using geospatial tools to teach population health. Also studies the impact of medical-legal partnerships on health outcomes, and has developed curricula, funded by the National Association of Community Health Centers and HRSA, to help learners put these concepts into practice. MD, Baylor College of Medicine; family medicine residency, Virginia Commonwealth University; faculty fellowship at the Robert Graham Center; MPH, Harvard.
Practicing family physician, Chief of General Primary Care at Stanford University School of Medicine, and President of the Society of Teachers of Family Medicine. Founding Director of the Stanford Healthcare AI Applied Research Team, an implementation center partnered with 100+ organizations across industry, academia, non-profit, and government. The team works in the U.S., Europe, and Asia to move intelligence tools from code to bedside in support of the Quintuple Aim. Former Fellow of the National Academy of Medicine; author of 500+ conference presentations and scholarly works. His seat gives the board a direct line to both implementation practice and the national family medicine education community.
Family physician and clinical educator at UT Health San Antonio. Her scholarship spans community engagement, health literacy, telehealth, and the application of Intelligence-Tech and machine learning in primary care. Clinical work covers inpatient and outpatient care, with a focus on mental health, chronic disease management, and access for underserved populations. Co-PI on a multi-year, ABFM Foundation–funded grant applying machine learning to multimorbidity in primary care (2022–2026). Teaching includes telemedicine, LGBTQ+ health, and point-of-care ultrasound. PhD in Physiology and family medicine residency (Academic Chief Resident) at UT Health San Antonio; 2025 certificate in Biomedical Data Science.