Meet our health care computing faculty

Our online M.S. in Health Care Data Analytics combines mathematics, statistics, computer science, ethics, health care environment, regulation, industry and process improvement. The combination is designed to bring the latest in the health care industry and the delivery of care and service together with the tools of analysis and technology.

The faculty who teach our health data analytics program are highly experienced professionals and recognized researchers. They are the same committed educators who connect with students every day in our on-campus programs. Our online students enjoy the benefits of faculty who are accessible and responsive, and who foster a constructive and rewarding virtual experience.

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My experience with the Marquette faculty has been excellent. The instructors are fantastic and will help you every step of the way.
Jose Quiroz, M.S. in Health Care Data Analytics '22 candidate

Walter Bialkowski, Ph.D.

Visiting Assistant Professor, Department of Computer Science

Dr. Walter Bialkowski is an assistant professor of computer science in the Klingler College of Arts and Sciences at Marquette. Bialkowski is an expert at directing complex research programs and tailoring clinical studies to appropriate levels of regulatory oversight. After establishing a comprehensive portfolio of clinical study implementation successes in varied settings and with diverse patient populations, he completed advanced formal training in clinical study design and epidemiology at Marquette University. He has led and co-led a number of clinical and translational scientific studies that have advanced our understanding of drug therapy complications, human physiology, and population health. His work has also supported important policy changes including improvements in the equitable application of blood donor eligibility criteria and the management of iron deficiency in vulnerable populations.

Bialkowski is also the principal investigator of the project “Empowering Those Who Seek to End Hunger through Collaboration and Innovation” — one of three winning projects as part of the President’s Challenge for COVID-19 Response.

Thomas Kaczmarek, Ph.D.

Adjunct Assistant Professor and Director, Master of Science in Computing, Department of Computer Science

Dr. Thomas Kaczmarek is the director and adjunct assistant professor of the Master of Science in Computing program. Joining Marquette in 2010, Dr. Kaczmarek has created the Center for Cyber Security Awareness and Cyber Defense at Marquette University and launched the MU contribution to the $40 million Northwestern Mutual Data Science Institute. His research interests include business intelligence and analytics, verification and validation, knowledge representation, educational technology, computer science education and software and computer management methodologies. He teaches the following courses: Information Systems, Artificial Intelligence, Professional Seminar in Computing, Business Intelligence, Business Analytics, and Principles of Service Management and System Administration. A few of his published works include “A Network Architecture for Intelligent Workstation Interfaces” and “Computer-Aided Materials Selection During Structural Design.”

Kerry Kosmoski-Goepfert, Ph.D., RN

Clinical Associate Professor, College of Nursing
Dr. Kerry Kosmoski-Goepfert is a clinical associate professor in the College of Nursing at Marquette University. Kosmoski-Goepfert’s research interests have centered on health care leadership topics including leadership behaviors, the design of work for registered nurses, the culture of nursing units, and registered nurses job satisfaction and retention. Working in educational administrative positions for over 10 years of her career, Kosmoski-Goepfert also became interested in creative curriculum designs, high quality educational methods such as simulation learning, and student spirituality and its role in patient centered care.

Kathryn G. Rapala, D.N.P., J.D., RN, CPPS

Clinical Assistant Professor, College of Nursing
Kathryn G. Rapala is an clinical assistant professor in the College of Nursing at Marquette. Her research interests are patient safety, health systems, quality, clinical risk and population health, and curriculum development. Subsets of these interests include the relationship of wellness programs to the prevention of patient care error, policy, social determinants of care, work complexity, health care economics, staffing, accreditation and regulatory issues, performance, professional certification, and malpractice. Areas of focus include Infusion pump informatics database; mortality database; certification and IHI activities; and patient safety models.

Patricia Schroeder, M.S.N., M.B.A., RN, FAAN

Clinical Assistant Professor and Director, Strategic Initiatives, College of Nursing

Patricia Schroeder is a scholar focused on health systems leadership and improving quality and patient safety. Schroeder has incorporated executive leadership roles with academic engagement and value mentoring new leaders. She is fascinated and inspired by the dramatic transformation of health care delivery today.

Michael Zimmer, Ph.D

Associate Professor, Director of Undergraduate Studies, Data Science Major and Data Science Graduate Certificate, Department of Computer Science

Dr. Michael Zimmer is a privacy and data ethics scholar, whose work focuses on digital privacy and surveillance, internet research ethics, and the broader social and ethical dimensions of emerging technologies. Zimmer is an associate professor in the Department of Computer Science at Marquette University and is an affiliated faculty at the Northwestern Mutual Data Science Institute.

Zimmer’s research has been funded by the National Science Foundation (NSF), the Social Science Research Council (SSRC), the Association for the Advancement of Science (AAAS), the Institute of Museum and Library Services (IMLS) and the American Library Association, among other sources.
Priority application deadline
November 18
Spring 2023 term
Application deadline
January 6
Spring 2023 term
Next start
January 17
Spring 2023 term
Questions? Let’s connect.