Faculty

Imran Khan

Imran Khan

Faculty Director

Contact Information

i-khan@northwestern.edu

LinkedIn

Imran Khan currently serves as the Director and Head of Digital Health Innovation & Capabilities at AbbVie, 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 and supporting on-market brands in different therapeutic areas, and developing strategic capabilities in the Commercial and R&D organizations. He has a successful track record of developing innovative technology & data solutions to enable healthcare providers and patients manage advanced medication therapies for complex diseases.

Prior to joining biopharma, Imran worked for Advocate Health Care, 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 Illinois Chapter HIMSS Board of Directors for several years to advance the delivery of patient care through technology and data. 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 & Analytics programs.

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Education

MS in Medical Informatics, Northwestern University
MBA, University of Illinois
BS in Computer Engineering, University of Illinois
Project Management Professional (PMP)
Agile Certified Practitioner (ACP)
Certified Professional in Healthcare Information and Management Systems (CPHIMS)
Fellow of Healthcare Information and Management Systems Society (FHIMSS)
Information Systems Project Management Graduate Certificate, Northwestern University

Current Research Interests

Using Digital Health & Informatics for developing transformational medicines to make a remarkable impact on patients' lives
Improving experiences for our key stakeholders and customers in healthcare and life sciences through strategic capabilities
Building and leading organizations that adopt a data-driven culture for improving business and health outcomes

Selected Publications and Products

Digital Health and Informatics
Strategic Management
Change Management
Portfolio / Program / Project Management

Recognition

President's Award for Drug Launch - Multiple Sclerosis Chief Financial Officer Award for Patient Services Program
President's Award for elevating the performance of Integrated Brand Teams
Unsung Hero Award for Drug Launch - Hepatitis C Chief Information Officer award for Market Access Budget Impact Models
Part of AbbVie's Accelerated Leadership Development Program

Recent Courses

MSHA 403-DL : Introduction to American Healthcare, Digital Health and Analyics

MSHA 498-DL : Capstone

Teaching Approach and Philosophy

My goal is to create a strong culture and learning environment where students can thrive and bring their full selves to the classroom, assignments, and discussion boards. There is a lot of rich learning for everyone (including myself) from the online discussion boards and case study based assignments. I like to develop the course content that is both academic and real-world based to maximize the student learning and application of these skills and experiences gained in the graduate program. As an alumni of the Medical Informatics program myself, I like to bring a holistic approach to teaching by continually incorporating student perspectives, using best course instruction practices, and developing cutting edge course content that is relevant to current times and the future.

Lynd Bacon

Lynd Bacon, PhD, MBA

Contact Information

lynd.bacon@northwestern.edu

lynd.bacon@hsc.utah.edu

Lynd Bacon is a scientist and a natural philosopher. He teaches graduate and post-graduate courses in data science, machine learning, statistics, and research methods. He does research about health services delivery, product and service design, and genomic testing. His prior teaching experience includes having taught at The David Eccles School of Business at the University of Utah, Notre Dame University’s Mendoza School of Business, The University of Chicago’s Booth School of Business, Rush University, The University of Illinois at Urbana-Champaign, and the University of Illinois at Chicago. He has founded two software companies, and has held senior management and chief research officer positions in venture-funded start-up companies and in global business intelligence enterprises. Bacon has a PhD and an MA in cognitive and physiological experimental Psychology from the University of Illinois at Chicago, and an MBA with specializations in marketing, econometrics, and healthcare management from the Booth School of Business, The University of Chicago. He completed a two-year postdoctoral fellowship in neuropsychology at Rush University in Chicago, during which he did neuroscience research on healthy and patient populations, and saw patients with the clinical neurology and neurosurgery services.

Education

PhD, Experimental Psychology, University of Illinois at Chicago
M.A., Experimental Psychology, University of Illinois at Chicago
MBA, The Booth School, The University of Chicago
Postdoctoral Fellowship, Neuropsychology, Rush University

Current Research Interests

Analytics
Research Methodology
Policy Decision Support Machine Learning
Causal Inference
Product/Service Development

Relevant Work

Adjunct Assoc. Professor, Division of Epidemiology, Department of Internal Medicine, University of Utah, 2018 - present
Adjunct Assoc. Professor, Dept of Marketing, Stephen Eccles School of Business, University of Utah, 2018 - present
Adjunct Assoc. Teaching Professor, Operations and Analytics, Mendoza School of Business, Notre Dame University, 2016-2018
Affiliated Research Scientist, George E. Wahlen Dept. of Veterans Affairs Medical Center, 2018-present

Selected Publications and Products

Bacon, L. and Lenk, P. (2012) Augmenting discrete-choice data to identify common preference scales for inter-subject analyses. Quantitative Marketing and Economics, 10, 453-454.
Bacon, L. (2002) "Marketing." In W. Klösgen and J. Zyklow, editors. Handbook of Data Mining and Knowledge Discovery. Chapter 34, pp. 715-725. NY: Oxford University Press.
Bacon, L., Wilson, R., and Kaszniak, A. (1982) “Age Differences in Memory Scanning,” Peceptual and Motor Skills, 55(2):499-504.
Elrod, T., Russell, G., Shocker, A., Andrews, R., Bacon, L., Bayus, B., Carroll, J.D., Johnson, R., Kamakura, W., Lenk, P., Mazanec, J., Rao, V., and Shankar, V. (2001) “Inferring market structure from consumer response to competing and complementary products.” Marketing Letters, 13:3, 221-232.
Naik, P., Wedel, M., Bacon, L., Bodapati, A., Bradlow, E., Kamakura, W., Kreulen, J., Lenk, P., Madigan, D. and Montgomery, A. “Challenges and Opportunities in High dimensional Choice Data Analyses.” Marketing Letters, 2008.
Nausieda P.A., Bieliauskas L.A., Bacon L.D., Hagerty M., Koller W.C., Glantz R.N. (1983) Chronic dopamanergic sensitivity after Sydenham’s chorea. Neurology 33: 750–754.
Wilson, R. S., Kaszniak, A. W., Bacon, L. D., and Fox, J. H. (1982). Facial recognition memory in dementia. Cortex 18: 329–336.
Wilson, R..S., Fox, J.H., Huckman, M.S., and Lobick, J.J. (1982). Computed tomography in dementia. Neurology 32:9, 1054-1057.

Recent Courses

MSHA 422-DL : Artificial Intelligence and Practical Machine Learning

Teaching Approach and Philosophy

My approach to teaching at Northwestern emphasizes discovery, and the development of problem-solving and inquiry skills. It reflects recent research in the best ways to help people learn, while (mostly) staying within the parameters of the School of Professional Studies’ approach to pedagogy. My tendency is to organize course content in ways that encourage comparing related concepts and methods, rather than covering it in a linear, one topic at a time, manner. My assignments have multiple objectives, and are more like “mini-projects” than they are like undergraduate course assignments. I encourage my students to collaborate, and to lend each other assistance on required work in my courses.

Ariel Chandler

Ariel Chandler

Contact Information

ariel.chandler@northwestern.edu

arielechandler@gmail.com

LinkedIn

Ariel Chandler is currently a data scientist and strategic consultant at Validate Health, which provides data driven guidance to healthcare organizations on value based care contracts. In 2020 she received her PhD in Health and Biomedical Informatics from the Health Sciences Integrated Program at Northwestern University. Her dissertation work involved the application of a complex network model to electronic health record data to identify when clinical care and teamwork have the greatest impact on patient outcomes. Ariel previously worked at Boston Children’s Hospital on research integrating electronic health record and genomic data, and at The Policy and Research Group in New Orleans on projects evaluating the implementation and impact of federally funded public health programs. She earned her undergraduate degree in Cell and Molecular Biology from Tulane University.

Education

PhD Health and Biomedical Informatics from Northwestern University

Current Research Interests

Value-based care
Clinical networks
Network science Provider analytics
Secondary data use (EHR and claims)
Dimension reduction for modeling

Relevant Work

Data scientist and strategic consultant at Validate Health. I work with healthcare organizations wanting to optimize and expand their value-based care contracts by providing actionable analytics from internal and market claims data.

Recent Courses

MSHA 405-DL : Data Literacy and Analytics in Healthcare

Teaching Approach and Philosophy

I’ve been teaching Data Literacy and Analytics in Healthcare since 2020. After completing my PhD in Health Informatics at Northwestern in 2020, I have been working as a data scientist and strategic consultant at Validate Health. In my current position I work with healthcare organizations wanting to optimize and expand their value-based care contracts by providing actionable analytics from internal and market claims data.
Working in the healthcare analytics and informatics field is both fascinating and challenging because it is at the intersection of many fields where the domain knowledge crosses so many disparate disciplines. That requires constantly staying up to date on current healthcare industry news and methods through my work, reading and connections. However, no one will ever be an expert in every area, which at a fundamental level requires us all to be humble about the limits to our expertise and learn from each other. My expertise is in the healthcare data and analytics space and am constantly learning from colleagues who have first-hand experience in clinical care and the more technical backend aspects of data engineering. 
I really enjoy teaching in the MSHA program because the students bring such varied and interesting backgrounds to the class. My role as a teacher is to provide foundational knowledge and structure to guide the course through the material, but also to create the collaborative environment where we can all share and learn from each other’s experiences and expertise.

Eytan Dallal

Eytan Dallal

Contact Information

eytan.dallal@northwestern.edu

LinkedIn

Eytan Dallal is a senior healthcare IT executive with over 25 years of experience in the private and public sectors, helping organizations think beyond simply using technology as a tool, and leading implementations of technology as a strategic business driver. As a former CIO in healthcare in the public and private sectors, he understands the complex nature of managing and security healthcare data across business silos and the challenges from a legal, compliance, security, privacy, and interoperability perspective.

Dallal has served as a keynote speaker and panelist in a number of seminars, recognized for his in-depth knowledge of technology, strategy, and business. He holds a Master's in Health Informatics from the College of Applied Health Sciences at the University of Illinois at Chicago, a Bachelor’s in Business Management from NEIU, and several industry certifications including HCISPP and HIPAA. He is an active member of AHIMA, HIMSS, and (ISC)2, and serves on the board of a community non-profit organization supporting education.

Education

Masters of Healthcare Informatics, UIC
Machine Learning Implementation, MIT
Google Cloud Certified Professional Cloud Architect
Certified Six Sigma Green Belt
Certified Medicaid Professional
Certified HL7 FHIR
Certified Healthcare Information Security
Certified HIPAA Privacy and Security

Relevant Work

Head of Data and Analytics, Sinai Chicago
CIO of Illinois Medicaid Plan, Blue Cross Blue Shield
VP of Technology, Land of Lincoln Health Insurance
CIO, IL Framework, State of Illinois
Director, Bureau of Technology, Cook County

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.

Education

PhD, Political Science, Stanford University
MS, Statistics, Stanford University

Current Research Interests

text analysis methods
research software
teaching technology effectively

Relevant Work

Research Data Services Lead, Northwestern IT Research Computing Services, 2016-
Research Analytics Consultant, Stanford Graduate School of Business, 2014-2016
Senior Technical Analyst and Manager, Institute for Physical Sciences, 2006-2014

Selected Publications and Products

Data Science and Programming Workshop Design, https://nuitrcs.gitbook.io/teaching/
R Tidyverse Workshops, https://github.com/nuitrcs/r-tidyverse
R Shiny Workshop, https://github.com/nuitrcs/rshiny
R ggplot2 Workshop, https://github.com/nuitrcs/r-ggplot2-april2020
Good Enough Project Management Practices for Researcher Support Projects, PEARC19, https://dl.acm.org/doi/abs/10.1145/3332186.3332198

Recent Courses

MSHA 455-DL : Data Visualization and Storytelling

Teaching Approach and Philosophy

I started teaching in the MSHA program in 2021. The courses I teach in the program are an extension of the short R, Python, SQL, and other workshops I teach for researchers as part of my position with Northwestern IT Research Computing Services. Being able to work with students over the course of the quarter, instead of just a few hours in a workshop, means we can explore topics in more depth, connect practical skills to theoretical frameworks, and work towards skill mastery instead of covering only the basics. I enjoy teaching because I learn new things every time I teach, both about the topic of the course and about teaching data science effectively. Methods and tools for working with data are constantly evolving. My goal when teaching is to help students develop skills for problem-solving and troubleshooting their work so they have the tools to learn more on their own in the future. Being able to make use of the many great resources available beyond the core course materials means you'll be able to evolve your skills over time to meet any data challenges you face.

Bill Mickelson

William T. Mickelson (Bill)

Contact Information

william.mickelson@northwestern.edu

(608) 556-4466

Dr. William T. Mickelson is an applied social science statistician and statistical consultant with over 35 years of experience in both academia and industry.  Mickelson has taught across the spectrum of research and statistical topics, including courses in mathematical and stochastic modeling, general linear statistical models, response surface methods, multivariate statistical methods, and linear and non-linear optimization. He is deeply involved with statistics education and the promoting of statistical reasoning, thinking, and literacy.  He has also maintained a statistical consulting practice with clients primarily in  Health Care, state and local government, health and fitness, transportation, insurance, banking and finance, and Higher Education.

Education

Ph.D., Educational Psychology, University of Wisconsin, Madison, WI (1995)

M.S., Statistics and Operations Research, Michigan State University, East Lansing, MI (1985)

B.A., Mathematics, Saint Olaf College, Northfield, MN (1983)

Current Research Interests

Research interests include: the robustness of commonly used statistical tests and predictive models, the use of automated variable selection procedures in regression, modern re-sampling and non-parametric statistical methods, the teaching and learning of statistics, and the construction of knowledge through modeling quantitative data.

Relevant Work

Assistant Professor of Instruction (faculty), School of Professional Studies, Northwestern University, Evanston, IL (2011–present).   

Associate Professor of Statistics, Department of Mathematics University of Wisconsin-Whitewater, Whitewater (2007- 2019). 

Senior Statistician and Senior Consultant, Chamberlain Research Consultants, Madison, Wisconsin (2003–2007).

Director, Nebraska Evaluation and Research Center, University of Nebraska-Lincoln (2002–2003).

Assistant Professor of Research Methods, Department of Educational Psychology

University of Nebraska, Lincoln (1998–2003)

Assistant Professor of Statistics, Department of Mathematics/Division of Statistics

University of Idaho, Moscow (1995–1998).

Selected Publications

Mickelson, W.T. (2013).  A Monte Carlo Simulation of the Robust Rank Order-Test Under Various Population Symmetry Conditions.  Journal of Modern Applied Statistical Methods, 12(1), 1-13. 

Welch, S.A., & Mickelson, W.T. (2013).  A Listening Competence Comparison of Working Professionals.  International Journal of Listening, 27(1), 85-99. 

Mickelson, W.T., & Welch, S.A. (2012).  Factor Analytic Validation of the Ford, Wolvin and Chung Listening Competence Scale.  International Journal of Listening, 26(1), 29-39. 

Hankes, J., Skoning, S., Mason, L., Fast, G., Beam, J., Mickelson, W., and Merrill, C. (2011).   Closing the mathematics achievement gap of Native American students identified as learning disabled, Voices of Native American Indian Educators:  Integrating History, Culture and Language to Improve Learning Outcomes for Native American Indian Students. Editor Sheila T. Gregory. University Press of America, Lanham, MD. 

Mickelson, W., & Heaton, R. (2004).  Primary teachers’ statistical reasoning about

data.  In, Ben-Zvi, D., & Garfield, J. (Eds.), The Challenge of Developing Statistical Literacy, Reasoning and Thinking.  Kluwer Academic Publishers, Netherlands.                           

Heaton, R., & Mickelson,W.T. (2002).   The Learning and Teaching of Statistical Investigation in Teaching and Teacher Education.   Journal of Mathematics Teacher Education, 5, 35-59. 

Heaton, R. & Mickelson,W.T., (2002).  Reasoning about data and distribution through the statistical investigations of a third grade classroom.  Statistics Education Research Journal, 1(1), 31-33.

 Swearer, S., Song, S., Cary, P., Eagle, J., & Mickelson, W.  (2001). Psychosocial correlates in

bullying and victimization:  The relationship between depression, anxiety, and bully/victim status.  In, Geffner, Loring & Young (Eds.), Bulling Behavior:  Current Issues, Research, and Interventions.  Binghamton, NY, Hayworth Maltreatment and Trauma Press.

Sudilovsky, A., Cutler, N.R., Sramek, J.J., Wardle, T., Veroff, A.E., Mickelson, W.T., Markowitz, J., & Repetti, S. (1993).  A pilot clinical trial of the angiotensin-converting enzyme inhibitor ceranapril in Alzheimer disease.  Alzheimer Disease and Assorted Disorders, 7(2), 105-111.

Veroff, A.E., Cutler, N.R., Sramek, J.J., Prior, P.L., Mickelson, W.T., & Hartman, J.K., (1991).  A new assessment tool for neuropsychopharmacologic research:  The computerized neuropsychological test battery.  Journal of Geriatric Psychiatry and Neurology, 4(4), 211-217.

Recognition

Teaching Scholars Fellow                              University of Wisconsin – Whitewater, 2010

Distinguished Teaching Award                    Teachers College, University of Nebraska-Lincoln, 200

Recent Courses

MSDS 401    Applied Statistics with R

MSDS 410    Supervised Learning Methods

MSDS 411    Unsupervised Learning Methods

MSDS 460    Decision Analytics

MSHA 409   Statistical Analysis with R

MSHA 410   Regression and Multivariate Analysis

MSHA 411   Advanced Data Modeling for Health Analytics

Ekta Punwani

Ekta S. Punwani

Contact Information

ektapunwani@gmail.com

LinkedIn

@ektapunwani

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, Ms. 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 including Adventist Midwest Health, Advocate Health Care and Northwestern Medicine.

Ekta 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. Ekta also served as a member of the NQF Measure Feedback Loop Committee.

Ekta 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.

Education

Washington University, St Louis, MO - MHA
University of Illinois, Champaign-Urbana, IL - B.S/B.A

Current Research Interests

Improving Health Outcomes
Health Equity

Recent Courses

MHSA 480 - Health Analytics Leadership

Teaching Approach and Philosophy

I’ve been teaching in the MSHA program since 2017. I developed the Health Analytics Leadership course because I believe that we have an opportunity in health care to improve how we use data and analytics to improve health outcomes and reduce costs. This course's primary objective is to help students understand the gap between creating analytics and using insights from analytics to drive change.

Most of my experience has come from the different roles I have had in my career - hospitals, health systems, consulting clients and IBM Watson Health. I think the best way to share experiences is through discussion and case studies. We use two Harvard Business Review case studies in this course.

I have really enjoyed teaching in the MSHA program. The best part for me is learning from my students through discussion boards and assignments. Students feel that they can connect their daily experiences to what we discussing and learning about in class.

Danny Sama

Danna Sama

Contact Information

pradeep.sama1@northwestern.edu

Danny Sama is the Vice President, Information Services & Chief Data Executive for Northwestern Medicine and leads the integrated academic health system’s reporting and analytics teams in support of the strategic plan and organizational goals. He has experience in healthcare analytics in a variety of areas, including clinical/market research, hospital quality & safety, and health system strategy & planning. He earned his undergraduate degree in Management Information Systems from the University of Illinois at Urbana-Champaign and his MBA from Northwestern University’s Kellogg School of Management.

Education

MBA, Kellogg School of Management (Northwestern)
BS, University of Illinois at Urbana-Champaign

Relevant Work

Northwestern Medicine, VP & Chief Data Executive (2009 - Present)
Vizient, Senior Research Specialist (2005 - 2009)
ICON plc (2002 - 2005)

Recent Courses

MSHA 412-DL : Feature Engineering and Text Mining

Teaching Approach and Philosophy

I've been teaching in the MSHA program since 2020. This is the first course that I have developed and taught, as my career focus has been within industry. I have worked in healthcare analytics my entire career since 2002, first in the life sciences domain but then in the provider space since 2005. As a current health system executive, I try to bring my industry experience in leading a large analytics team to my courses through discussion posts and synchronous sessions. My goal for the courses I teach is to bring real-world experience with concepts & skills through hand-on programming, much like analysts learn on the job. I enjoy seeing students progress in a course and that inflection point that occurs when the skills start to click for each individual.

Raymond Robinson

Raymond Robinson

Contact Information

Ray@northwestern.edu

5304408765

Raymond Robinson is an Associate Professor and Co-Chair of the Department of Clinical Medicine at the American University of Antigua (AUA). His prior work in Health Informatics includes being a senior manager at the Philips Hospital to Home Telemedicine working to extend Telemedicine across the healthcare continuum. Robinson’s research interests include patient safety, healthcare quality improvement, telemedicine, data-driven decision making in Education, and student-centered teaching. He is finishing up his doctorate degree in Education from the Johns Hopkins School of Education. His doctoral thesis is titles, “Improving Student-centered Teaching Practices and Data-Driven Decision Making in Medical Faculty” and has led into developing a new adaptive learning management system to support student-centered teaching practices and to track student progress. Prior to these positions he began his medical research training working with Dr. Peter Pronovost’s team at the Johns Hopkins Quality and Safety Research Group (QSRG) on his international, On the CUSP: STOP BSI campaign. Since that time Robinson has authored several manuscripts and book chapters around healthcare quality improvement and patient safety. Robinson received his MD from the Johns Hopkins School of Medicine while also pursuing an MPH in clinical investigation, biostatistics and epidemiology at the Bloomberg School of Public Health where he completed a thesis study on “Airway Management by a Difficult Airway Response Team." Robinson then became interested in the business of healthcare and quality improvement, so took time out to pursue an MBA degree at the Johns Hopkins Carey Business School.

Education

MD - Johns Hopkins School of Medicine
EdD - Johns Hopkins School of Education
MPH - Johns Hopkins Bloomberg School of Public Health
MBA - Johns Hopkins Carey School of Business

Current Research Interests

Data-driven Decision Making in Education
Spaced Retrieval Practice
Student-Centered Teaching

Relevant Work

Associate Professor of Clinical Medicine - American University of Antigua

Recent Courses

MHI 402-DL : Introduction to Clinical Thinking

Teaching Approach and Philosophy

My philosophy of teaching is that students learn best in authentic “situated” learning environment and when given the opportunity to construct their own knowledge through meaningful activities and discourse. It is the instructor’s practice of designing focused, relevant, and measurable learning outcomes and assessments, and the use of scaffolding assignments, inquiry questioning, and collaborative activities that support students’ conceptual understanding and provide them with critical tools for deep meaningful learning and problem solving. Effective medical educators critically and systematically measure and reflect on their teaching practices and alter those practices to best support students’ knowledge, application, and practice. In addition, a medical educator needs to understand appropriate learning theory and pedagogical practices while practicing and supporting reflection to develop relationships with his or her students to improve student learning outcomes, overall curriculum quality, and deliver high-quality memorable learning experiences for a diverse student body. Pedagogical practices should be carefully considered and tailored to not only the learning content, but the learning objectives, and assessment strategies that drive and authenticate knowledge transfer. This is why I find using scenarios and practices that are as authentic as possible so helpful in teaching students. I find that students are absolutely engaged and motived when learning activities feel meaningful to their real-life practice.

Victoria Wangia-Anderson

Victoria Wangia-Anderson

Contact Information

victoria.wangia-anderson@northwestern.edu

Dr. Victoria Wangia-Anderson is an Associate Professor and Program Director at the University of Cincinnati. She has a doctorate degree in Health Informatics from the University of Minnesota. She also completed the Public Health Informatics fellowship at the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia. She has a strong interest in leveraging technology and data to promote health and reduce health disparities. Wangia-Anderson has experience teaching and using health data science techniques and programming. She also has extensive experience teaching and developing courses. She has been a member of several industry organizations, including the American Medical Informatics Association (AMIA), the American Public Health Association (APHA), the Healthcare Information and Management Systems Society (HIMSS) and the American Health Information Management Association (AHIMA). In 2016, Dr. Wangia-Anderson received HIMSS fellow status, earning her the FHIMSS credential. 

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