Prescriptive Analytics Professors and Supervisors

Daniel Steven NaginView profile

Professor

Menlo CollegeUnited States

Daniel Steven Nagin (born November 29, 1948) is the Teresa and H. John Heinz III University Professor of Public Policy and Statistics at Carnegie Mellon University's Heinz College. A leading figure in criminology and statistics, Nagin has made transformative contributions to understanding criminal behavior and developing analytical methods for longitudinal data. Nagin's research focuses on criminal deterrence theory, developmental trajectories of criminal behavior, and statistical methods for analyzing longitudinal data. He pioneered group-based trajectory modeling, which has revolutionized how researchers identify distinct patterns of criminal behavior across the life course. His work has challenged conventional wisdom about the deterrent effects of capital punishment and harsh sentencing, emphasizing that certainty of apprehension matters more than punishment severity for deterrence. Nagin's publications show a clear evolution from early work on deterrence theory to methodological innovations in trajectory modeling, and more recently to applications of these methods across diverse domains including mental health, prescription drug use, and economic outcomes. His most cited works center on group-based trajectory modeling approaches and their applications to criminal behavior. 2014 Stockholm Prize in Criminology 2006 Edwin H. Sutherland Award from the American Society of Criminology 2017 NAS Award for Scientific Reviewing Elected Member of the National Academy of Sciences (2025) Fellow of the American Association for the Advancement of Science Nagin has supervised numerous doctoral students who have become influential scholars in criminology and related fields. His research has been supported by major grants from the National Institute of Justice, the National Science Foundation, and other federal agencies. He has served on influential committees including the National Research Council's Committee on Deterrence and the Death Penalty, whose 2012 report concluded existing research on capital punishment's deterrent effect was inconclusive. As a methodological innovator, Nagin's group-based trajectory modeling approach has created new opportunities for understanding developmental processes across multiple disciplines. His work continues to influence both theoretical developments in criminology and evidence-based criminal justice policy.

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Stephen CousinsView profile

Lecturer

La Trobe UniversityAustralia

Stephen Cousins is a Lecturer in Exercise Science at La Trobe University's Rural Health School, based at the Bendigo Campus. He also serves as the International Partnerships Coordinator within the school. With over a decade of academic experience, he teaches across various Exercise Science subjects and coordinates undergraduate placements to meet Exercise and Sport Science Australia (ESSA) accreditation standards. His background spans institutions in Australia, the UK, and practical roles in professional sports. Education: PhD in Sport and Exercise Science from University of East London (2014) MSc in Sport & Exercise Science from University of Chichester BSc(Hons) in Sport & Exercise Science from University of Chichester PG Cert in Teaching in Higher Education from University of East London PG Cert in Research Methods from University of East London Dr. Cousins' research focuses on the impact of overweight and obesity on health, novel exercise interventions for chronic diseases, physical testing in Australian football, and physical activity interventions for older adults. His work integrates biomechanics, exercise physiology, and sport science to address practical health and performance challenges. His PhD research explored the influence of childhood excessive body mass on foot loading characteristics and lower limb biomechanics. His recent publications demonstrate a strong focus on applied research in sports science, with emphasis on Australian Rules Football analytics, walking football programs for older adults, and innovative rehabilitation approaches for acquired brain injuries using tools like Nintendo Ring Fit Adventure. The research spans biomechanical analysis, performance testing, and community-based exercise interventions. Professional Certifications: Level 1 Certified Strength and Conditioning Coach (ASCA) Level 3 Certified Crossfit Trainer Level 2 AWF State Weightlifting/Sports Power Coach Dr. Cousins has secured research funding including a consulting project with Football Victoria Inc (2024) on walking football for older adults and a scholarship with Australian Football League (Victoria) Ltd (2023-2027) on training demands in adolescent athletes. He is available for Masters and PhD student supervision and has extensive practical experience from roles at Portsmouth FC, Chicago Fire FC, and Aspire Academy in Qatar.

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Aurélie LemmensView profile

Professor

Erasmus University RotterdamNetherlands

Prof. Aurélie Lemmens is a Full Professor of Customer Analytics at Rotterdam School of Management (RSM), Erasmus University Rotterdam, where she chairs the Department of Marketing Management. She concurrently serves as Academic Director of the Expert Practice on Customer Analytics at the Erasmus Center for Data Analytics. Previously, she held academic positions at Erasmus School of Economics and Tilburg University, and was a visiting scholar at Harvard Business School. She obtained her PhD from K.U. Leuven (Belgium) following an MSc in Business Engineering from Solvay Business School. Her research develops prescriptive analytics methodologies leveraging consumer data for customer-centric decision-making, organized around three core lifecycle stages: (1) customer acquisition and new product introduction, (2) customer development and engagement, and (3) customer retention. Her work extensively employs machine learning and large-scale computing. Prof. Lemmens' publication portfolio demonstrates consistent focus on quantitative marketing, customer analytics, and methodological innovation, with recent work emphasizing personalization algorithms, donor behavior modeling, and churn optimization techniques. Her research consistently bridges theoretical rigor with practical business applications. Awards and honors include: 2012 IJRM Best Paper Award Marie Curie Grant (European Research Council) Veni and Vidi grants (Dutch Science Foundation) ERC Consolidator Grant Finalist Best Teaching Awards (2017, 2019) for Conjoint Analysis course She teaches Customer Analytics (Business Analytics MSc), Customer Centricity (Marketing Management MSc), and Creating Customer Value (Executive MBA). She leads the Expert Practice on Customer Analytics, coordinating industry-academia collaborations in applied data analytics. Additional information is available via her personal website .

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Kathleen FairmanView profile

Associate Professor

Midwestern UniversityUnited States

Kathleen Fairman is an Associate Professor in the Department of Pharmacy Practice at Midwestern University's College of Pharmacy in Glendale, Arizona. With over 20 years of experience as a health outcomes researcher and quantitative methodologist, she brings extensive expertise to her academic role, where she teaches Research Methods and Statistics, Advanced Analytics, and Evidence-Based Health Care while providing methodological support for numerous student and faculty research projects. Her educational background includes: BA in Psychology and Sociology from Wellesley College MA in Sociology with concentrations in multivariate statistics and survey research methodology from Arizona State University PhD in Health Psychology from Walden University Dr. Fairman's research spans multiple disciplines with a focus on health psychology, pharmacoeconomics, and evidence-based medicine. Her work examines health-behavior change, medical decision making, substance use disorders, trauma-informed practice, and refugee trauma. She also investigates ethical issues in healthcare, U.S. health care system policy, pharmacoeconomics, specialty drug pricing and management, prescription drug cost sharing, and pharmacy benefit design. Her methodological expertise in quantitative research methods, statistics, analytic software, and survey research underpins her diverse research portfolio. Her publication record demonstrates a consistent focus on healthcare outcomes, medication safety, and methodological rigor. Recent work examines breast cancer screening practices, pandemic responses, veteran health issues, substance use treatment, and pharmacy education innovations. Her research frequently addresses health disparities, particularly among vulnerable populations including veterans, older adults, and under-resourced communities. Dr. Fairman has received notable recognition for her scholarly contributions: Best Book of 2012 for nonphysician health care professionals by the American Medical Writers Association for "Health Care Research Done Right" Teacher of the Year, April 2023 Before joining Midwestern University in 2013, Dr. Fairman held significant positions including Manager of Research and Development at Arizona Health Care Cost Containment System, where she oversaw Medicaid provider payment rates. She served for six years as Associate Editor and Senior Methodology Reviewer for the Journal of Managed Care Pharmacy and currently serves on the Editorial Advisory Boards of the Journal of Cardiovascular Pharmacology and Therapeutics and Science Progress. Her textbook on research methods has become a valuable resource for healthcare professionals. Dr. Fairman maintains an active consulting practice through Kathleen Fairman LTD and has held executive positions including Vice President of Research at Artemetrx and the Pharmacy Benefit Management Institute. Her work bridges academic research and practical healthcare applications, contributing to evidence-based decision making across multiple healthcare sectors.

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Wolfgang KratschView profile

Research Professor

Frankfurt University of Applied SciencesGermany

Prof. Dr. Wolfgang Kratsch serves as Research Professor for Applied AI at Augsburg University of Applied Sciences, Director of the FIM Research Institute for Information Management, and holds a leading position in Fraunhofer FIT's Business Information Systems division. He co-founded and manages the Center for Process Intelligence, driving industry-academia collaboration in digital transformation. His educational background includes B.Sc. and M.Sc. in Business Informatics from the University of Augsburg (2017), followed by a summa cum laude doctorate in data-driven management of process networks from the University of Bayreuth (2020). University of Augsburg: B.Sc./M.Sc. Business Informatics (2017) University of Bayreuth: PhD in Data-Driven Process Network Management (2020) Dr. Kratsch's research centers on data-driven process management , focusing on data extraction, quality assurance, and AI-driven context-sensitive process optimization. His methodology emphasizes design science research yielding prototype implementations for immediate practical use. Key domains include process mining, robotic process automation, and generative AI integration in business workflows, with strong industry applicability. Core Methodology: Design Science Research Technical Focus: Event Log Generation, Object-Centric Process Mining Application Areas: Manufacturing, Healthcare, Transportation His publication trajectory (2021–2025) reveals accelerating integration of generative AI with process mining , particularly in unstructured data extraction (text/video) and automated process improvement. Recent works emphasize practical industry solutions in manufacturing error analysis, airport operations, and medical monitoring, demonstrating consistent collaboration with industrial partners like Munich Airport. No scientific awards were explicitly mentioned in the source material. Dr. Kratsch actively contributes to academia through teaching at Augsburg and Bayreuth Universities, industry project leadership, and startup mentorship. His spin-off credium GmbH (founded 2020) built a 15-person AI/data science team, reflecting his entrepreneurial approach to translating research into market solutions. Current projects prioritize practical AI deployment in serial production and process intelligence systems. Teaching: Lectures/seminars at Augsburg & Bayreuth Universities Startup Experience: credium GmbH (Data Science/AI focus) Industry Projects: Manufacturing optimization, airport operations He leads the FIM Research Institute and Center for Process Intelligence, directing multidisciplinary teams in developing process mining prototypes. His labs focus on bridging academic research with industrial deployment, particularly in video-based process monitoring and generative AI for business process design.

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Michael E. ThompsonView profile

Associate Professor

University of North Carolina at CharlotteUnited States

Michael E. Thompson is an Associate Professor in the Department of Health Management and Policy at the College of Health and Human Services, University of North Carolina at Charlotte. He recently served as the inaugural Interim Chair of the department (July 2024-June 2025) and previously held roles as Associate Chair of Public Health Sciences and Director of the CAHME-accredited MHA Program. With over 20 years of experience, he has developed and led accredited public health programs domestically and internationally. His educational credentials include: DrPH in Health Services Research and Evaluation (2002), Johns Hopkins Bloomberg School of Public Health MS in Emergency Health Services (1988), University of Maryland, Baltimore County BA in Biology (1986), Johns Hopkins University Dr. Thompson's research centers on three interconnected themes: community-driven problem identification, program development and evaluation, and professional workforce development in public health. His work emphasizes competency-based approaches and community engagement to strengthen health systems, particularly in underserved and international contexts like Armenia and Saudi Arabia. His recent publications (2018-2023) demonstrate expertise in opioid prescribing practices, tuberculosis care models, and community health assessment methodologies. These works span public health policy, health informatics, and clinical evaluation, reflecting his interdisciplinary approach to solving complex health system challenges. Notable honors include: Delta Omega National Public Health Honorary Society membership (2002) and upcoming National Presidency (2025-2026) Phi Beta Delta Honor Society for International Scholars presidency (2013-2015) Upsilon Phi Delta Health Administration Honorary Society membership Staff Recognition Award from Johns Hopkins University (1995) As an educator, Dr. Thompson has directed UNC Charlotte's MHA, MPH, and Health Informatics programs while mentoring students through competency-based curriculum design. His international work includes serving as Adjunct Associate Professor at the American University of Armenia and developing health administration programs in Pakistan and Lebanon. He co-founded the Academy for Population Health Innovation (APHI), a partnership between Mecklenburg County Public Health and UNC Charlotte that implements community-driven health interventions.

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