Imran Khan currently serves as the Director and Head of Digital Health Innovation & Capabilities at AbbVie Biopharmaceuticals, where he is responsible for spearheading the strategy, development, and deployment of the digital technologies and capabilities needed to deliver on the vision for Digital Health of our clinical trials globally. Imran has served in different leadership roles at AbbVie for launching new drugs in the Virology, Oncology, and Neuroscience therapeutic areas, and developing strategic capabilities in the Commercial and R&D organizations. He has a successful track record of developing innovative technology solutions to enable healthcare providers and patients manage advanced medication therapies for some of the world’s most complex diseases.
Prior to joining biopharma, Imran worked for Advocate Health Care, a large Integrated Delivery Network health system in the state of Illinois, where he led Electronic Health Records implementations, Health Information Exchanges, Patient Portals, several Interoperability projects, clinical quality improvement initiatives such as Clinical Integration, Meaningful Use, PQRS, Accountable Care Organizations, and Patient-Centered Medical Home for the largest community of hospital-affiliated physicians in the United States. In other roles, Imran worked for GE Healthcare and Walgreens, where he developed and supported several clinical and pharmaceutical applications.
Imran served on the Greater Chicago Chapter HIMSS Board of Directors for several years and continues to work with student communities and healthcare IT professionals in their professional development. Imran earned his BS in Computer Engineering from the University of Illinois, MS in Medical Informatics from Northwestern University, and an MBA from the University of Illinois at Chicago. He has over 10 years of teaching experience in the Northwestern University Health Informatics program.

Christina Maimone is a data scientist with Northwestern University IT Research Computing Services, where she leads a team that supports researchers in learning data science, data visualization, and computer programming skills and applying them in their research. Through consultations, project collaborations, working groups, and workshops, her team helps thousands of researchers across the university overcome technical challenges and undertake innovative research projects. She especially enjoys projects that involve collecting new data, text analysis, and communicating effectively with data visualizations. She is active in the research computing and data professionals community, where she works to build national networks of technical research professionals and develop career paths for academic data scientists and research software engineers. Christina has a PhD in political science and a master's degree in statistics from Stanford University.

William T. Mickelson is an applied statistician with more than 25 years of statistical consulting, measurement, evaluation and survey research experience in both academia and industry. Mickelson was on the faculties of the University of Idaho, the University of Nebraska–Lincoln, and the University of Wisconsin–Whitewater. He has also worked with the RAND Corporation as a policy analyst and with Chamberlain Research Consultants of Madison, Wisconsin, as a senior consultant and division director. Mickelson has taught across the entire spectrum of research and statistical topics, including applied statistics, probability, modern robust and nonparametric methods, multivariate methods, regression, experimental design and ANOVA and mathematical and statistical modeling. His current research interests include the robustness of commonly used statistical tests and predictive models, the use of modern resampling and nonparametric statistical methods and the teaching and learning of statistical reasoning, thinking and literacy. Mickelson received his PhD in educational psychology in quantitative methods from the University of Wisconsin–Madison and a master’s degree in statistics from Michigan State University.

Ekta Punwani

Ekta Punwani

Email Ekta Punwani

Currently teaching:
Health Analytics Leadership

Ekta Punwani is the Leader of the 100 Top Program at IBM Watson Health. She is a trusted advisor to client executives on performance improvement opportunities and strategies based on the 100 Top Program studies.

Prior to joining IBM Watson Health, Punwani served as a Hospital and Health System executive leading organizational transformation, operations improvement, and change leadership within the health care continuum. She has demonstrated building performance improvement and analytics capability within multiple healthcare organizations. Punwani provides leadership, direction, and guidance to health care organization in the areas of quality and patient safety, operations, business intelligence, and performance improvement to drive best practice implementation and achieve outcomes. She has served on the Board of Examiners for the National Baldrige Performance Excellence Program for four years and has received certification as an ICBB – International Certified Black Belt. Punwani also teaches Health Analytics Leadership as an Adjunct Faculty in the Masters of Health Informatics Program at Northwestern University in Chicago.

Punwani received both a Bachelor of Science and a Bachelor of Arts degree from University of Illinois in Champaign-Urbana and a master’s degree in Health Administration from Washington University in St. Louis.

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