Richard Bruce, MD

Associate Professor
Vice Chair of Informatics
Informatics Section Chief
Department of Radiology
School of Medicine and Public Health
University of Wisconsin-Madison

Dr. Richard Bruce is the radiology Vice Chair of Informatics at the University of Wisconsin-Madison. A large portion of his efforts are devoted to the clinical integration of AI across the entire spectrum of clinical workflows. This includes AI-assisted clinical decision support for ordering medical imaging through integration of AI within imaging modalities for and extends through radiologist interpretive workflows to actionable results communication and follow up within the EHR. There is a significant focus on providing infrastructure, processes, and tools for researchers to support efficient workflows for data discovery and AI model development. UW Radiology has a long legacy of informatics innovation through deep industrial partnerships.  Dr. Bruce is involved in data and workflow integration across multiple partner systems. Dr. Bruce has been actively involved in computing resource and network implementation since the mid-1990s and previously worked as an internetwork engineer for Cisco Systems.

Matthew Churpek, MD, PhD, MPH

Associate Professor
Allergy, Pulmonary, and Critical Care Medicine,
Department of Medicine
Affiliate Faculty,
Department of Biostatistics and Medical Informatics
School of Medicine and Public Health
University of Wisconsin – Madison

Dr. Churpek is an Associate Professor of Medicine in the Division of Pulmonary and Critical Care and Affiliate Faculty in the Department of Biostatistics and Medical Informatics at the University of Wisconsin-Madison. He is a lead PI of the University of Wisconsin’s ICU Data Science Lab, and his research uses machine learning methods, such as natural language processing and deep learning, to identify patients at risk for clinical deterioration, sepsis, acute kidney injury, and other syndromes of critical illness. Dr. Churpek has been supported by a K08 from NHLBI, an ATS Foundation Recognition Award for Early Career Investigators, a Department of Defense award, and R01 grants from NIGMS, NIDDK, and NHLBI.

John W. Garrett, PhD, DABR

Assistant Professor,
Director of Imaging Informatics
Departments of Radiology and Medical Physics
School of Medicine and Public Health
University of Wisconsin – Madison

Dr. John Garrett is an Assistant Professor and Director of Imaging Informatics in the Departments of Radiology and Medical Physics at The University of Wisconsin-Madison School of Medicine and Public Health. He received his Bachelor of Arts in physics from Middlebury College in 2011 and his masters of science and doctor of philosophy degrees in Medical Physics at the University of Wisconsin-Madison in 2013 and 2017, respectively. His current primary research efforts are in the areas of developing and translating novel artificial intelligence (AI) methods into clinical practice, improving clinical data science infrastructure, and advanced image reconstruction methods for CT and cone-beam CT imaging, especially for acute ischemic stroke.

Peter Kleinschmidt, MD, FACP

Medical Informatics Director of Quality and Safety
Assistant Professor
Division of General Internal Medicine
Department of Medicine
School of Medicine and Public Health
University of Wisconsin – Madison

Dr. Kleinschmidt is a Board Certified Clinical Informaticist and Assistant Professor at the University of Wisconsin (UW). He completed his medical school and residency at UW and currently practices primary care in internal medicine. He is the Medical Informatics Director of Quality, Safety, and Population Health at UW Health and his research focuses on ambulatory medication safety. He also leads the curriculum for the Clinical Informatics fellowship at UW.

Becky Kohler, MPH, RN-BC

Chief Nursing Information Officer
UW Health Information Services

Becky is a Board Certified Nurse Informaticist functioning at the intersection of health care delivery and information systems for 18 years.  Becky is a champion of change and strong advocate for data-driven decision-making and alignment of clinical care,  business systems, technology, and analytics to transform care.  As the CNIO at UW Health, she leads the Nursing Informatics team and the Education, Optimization, and Support teams, as well as partnering and leading key initiatives that provide value to our clinical and operational teams, and support the mission of the organization.

David Kunstman, MD

Clinical Professor
Department of Family Medicine and Community Health
School of Medicine and Public Health
University of Wisconsin – Madison
UW Health Associate Chief Medical Information Officer

Dr. David Kunstman is a Board certified Family Physician and Medical Informaticist utilizing information technology to support the clinical, educational, and research priorities at UW Health for 20 years. As an EHR pioneer, implementing Epic in 2004, he is keenly interested in matching technology advances with clinical workflows. As an Associate Chief Medical Information Officer (CMIO), he has been intimately involved in the UW Health, Epic, and Microsoft partnership to bring large language models to clinical care.

Anoop Mayampurath, PhD

Assistant Professor
Biostatistics & Medical Informatics
School of Medicine and Public Health
University of Wisconsin – Madison

Anoop Mayampurath, PhD, is an informatician and data scientist. He currently co-leads the ICU Data Science Lab at the University of Wisconsin-Madison, with a specific research focus on using electronic health record data combined with machine learning methods to improve the care of hospitalized children.

Yonatan Mintz, PhD

Assistant Professor
Industrial and Systems Engineering
College of Engineering
University of Wisconsin – Madison

Yonatan Mintz is an assistant professor in the Industrial and Systems Engineering department at the University of Wisconsin, Madison. His research focuses on the application of machine learning and automated decision making to human sensitive contexts. One application of his research has been on using patient level data, to create precision interventions . Yonatan is also interested in the sociotechnical implications of machine learning algorithms and has done work on fairness, accountability, and transparency in automated decision making.  In terms of methodology his research explores topics in machine learning theory, stochastic control, reinforcement learning, and nonconvex optimization. Yonatan's work has been recognized as a finalist in the INFORMS Health Applications Society Pierskalla Paper competition, a best poster award from the NeurIPS joint workshop on AI for Social Good, and he has been actively invited to publicly speak about his work in both print and televised media including PBS. His research has been funded by American Family Insurance. Prior to joining UW--Madison, Yonatan was a postdoctoral research fellow at the department of Industrial and Systems Engineering at the Georgia Institute of Technology. Yonatan received his B.S. in Industrial and Systems Engineering with a concentration in Operations Research from Georgia Tech in 2012, and his Ph.D. in Industrial Engineering and Operations Research from the University of California, Berkeley in 2018.

Name

Role

Financial Relationship Disclosures

Discussion of Unlabeled/Unapproved uses of drugs/devices in presentation?

Barbara Anderson, MS

Alaa Alsadi, MD

David Kunstman, MD

Frank Liao, PhD

Neil Munjal, MD, MS

Peter Kleinschmidt, MD, FACP

Richard Bruce, MD

John W. Garrett, PhD, DABR

Yonatan Mintz, PhD

Anoop Mayampurath, PhD