Leadership

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Abel Kho

Abel is the Principal Investigator and Executive Director for HealthLNK. He is well known in the field of healthcare informatics and chair/co-chair for several Regional/State/National data network initiatives. He sets the vision and mission for the organization and the HealthLNK team.

Abel is currently Associate Professor of Medicine and Preventive Medicine at Northwestern University’s Feinberg School of Medicine in Chicago, IL. His extensive research includes creation of electronic networks, EHR-based phenotyping, geographic information systems and dataset driven decision support. Abel is also a practicing primary care provider at Northwestern Medicine, an active member of the American Medical Informatics Association and a Fellow of the American College of Physicians.

Abel received his doctorate of medicine from the Medical College of Wisconsin and completed a residency and chief residency in internal medicine at the University of Wisconsin in Madison, Wisconsin. He completed a National Library of Medicine Medical Informatics Fellowship at the Regenstrief Institute, Inc. He has a Master of Science degree from Indiana University School of Medicine and a Bachelor of Science degree in Theoretical and Applied Mechanics from the University of Illinois. Abel most treasures time spent on monkey business with his three equally mischievous children. 

 
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Satyender Goel

Satyender is Director of HealthLNK and responsible for its management, operations, and product portfolio. He leads the data team for research and development of Healthcare IT products and services.

He is currently a research assistant professor of medicine at Northwestern University’s Feinberg School of Medicine. He comes with a broad informatics background including his recent work with HIE and EHR data integration projects with state of Illinois. He leverages his technical knowledge and tech transfer experience in sourcing new avenues, to build a strong and sustained HIT resource for Chicagoans. His experience with INVO, Office of Corporate Relations, and Kellogg School of Management at Northwestern University bring him the ease of spinning off ideas in to a product/company.

His start-up portfolio includes two healthcare based companies, and one B2B finance management company in US and abroad. He is the founder of postdoctoral forum at Northwestern University and Chair of its advisory board. He also serves at the advisory board of two healthcare start-ups in Chicago. In his free time he can be found at ‘1871’/ ‘MATTER’ , co-working spaces for start-ups.

Satyender completed a certificate program “Business for Scientists” in Kellogg School of Management; has a doctorate in Chemistry from University of Central Florida, and a masters in chem-informatics from the University of Manchester, UK. 

 
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Faculty

Zahra Hosseinian

Zahra is the program manager for HealthLNK and serves as the administrative contact for all external queries. She is the technical lead for the REDCap instance of HealthLNK, and the following projects: HepCCATT, ILPQC, CAPriCorn. Zahra is currently working as a Project Management Associate at Northwestern University’s Feinberg School of Medicine, Institute of Public Health and Medicine. 

Prior to joining HealthLNK, she served as a project manager and survey specialist at the University of Chicago Hospitals and NORC, where she designed, developed, and managed three national studies examining the effects of discrimination among Muslim physicians post 9/11, and the associations between religion-related factors and cancer screenings. She also collaborated on two other national studies involving doctorate recipients and Medicare beneficiaries. 

She received her master’s from the University of Chicago where she intersected the fields of psychology and neuroscience by studying associations between psychosocial factors and Mild Cognitive Impairment as one ages.  Her Bachelor is in Anthropology and Psychology from Northeastern Illinois University. 

 

 

 

Marc Rosenman

Coming Soon! 

Research Associate

Al'ona Furmanchuk

Al'ona is a data scientist at Northwestern University's Feinberg School of Medicine, Institute for Public Health and Medicine. She has a PhD in Computational Chemistry from Jackson State University (MS). She specializes in interdisciplinary research, and machine learning methods with an emphasis on predictive modeling. She applies supervised and unsupervised machine learning techniques to structured and non-structured data. Al'ona enjoys solving challenging projects, providing missing scientific understanding, writing articles, and converting predictive models into user-friendly web applications. 

Key projects: Next-D, HF and MDClone

Data Analysts

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Katie Jackson

Katie Jackson is a biostatistician at the Northwestern University Center for Health Information Partnerships. She obtained her BS in Industrial Engineering from Bradley University and her MS in Biostatistics from the UIC School of Public Health. She is the data manager and a statistical analyst for the HealthLNK Data Repository collaborates with various departments at Northwestern, including General Internal Medicine, Gastroenterology, Rheumatology, and the Center for Genetic Medicine Electronic Medical Records and Genomics (eMERGE) Network. Katie provides statistical support to various projects across the Northwestern campus, utilizing and integrating the internal Northwestern EHR data and the HDR. Prior to joining Northwestern, she was a data manager and analyst for the UIC Institute for Health Research and Policy.

 
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Elissa Oh

Elissa is a research analyst and a statistician at the Northwestern University Center for Health Care Studies.  She is currently involved in multiple projects including the EDW mother-baby linkages exploration, stroke outcomes research, and the ILPQC (Illinois Perinatal Quality Collaborative) project providing statistical and analytic support using the Northwestern EHR, HealthLNK and ILPQC data.

Prior to joining the HealthLNK team, she worked as a data manager and analyst for the National Children’s Study South Regional Operational Center at Northwestern University where she learned to understand the complexity of relational longitudinal data structures and how to efficiently work with a large dataset.  

Her research interests focus on the intergenerational linkages in health and behavior outcomes and accessibility to formal and informal resources related to health. She has a MA in Sociology at the University of Chicago where she examined the experiences of welfare recipients’ transition from welfare to work, their accesses to social support and its consequences on children’s health outcome in low income families.

 
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Isabel Chung

Isabel is a Research Data Analyst Associate at the Northwestern University Center for Health Information Partnerships.  She has a BA in English from the University of Rochester and an MPH in Maternal and Child Health Epidemiology from the University of Illinois – Chicago.  As a former bench scientist in molecular genetics and neuroscience, Isabel became interested in how the environment influences health over the entire course of human life.  She enjoys the challenge of integrating Public Health and Medicine through partnership-driven health research.  Her main research interests center on health disparities and personalized medicine.  In her spare time, she enjoys distance running, cooking dinner for friends, and is starting therapy dog volunteer work with her boxer.

 
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Researchers

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Margaret Madden

Coming Soon! 

 

 

 

 

 

 

 

Yu Deng

As a PhD student in biomedical informatics, Feinberg School of Medicine, Yu is interested in applying machine learning methods to early disease prediction, disease clustering, and phenotype extraction using EHR data. She is also interested in model portability across institutions. Predictive model showing good performance at one site may not work as good at another site. It is important to develop models with reasonable generalizability across institutions. Her recent work involves identification of incident heart failure and heart failure subtypes using non-negative tensor factorization algorithm and model based clustering.

 

 

Lindsay Zimmerman

Lindsay Zimmerman is a Health Sciences Integrated PhD student, in the Health and Biomedical Informatics track, at Northwestern University's Feinberg School of Medicine. She obtained her Bachelor of Science in biological science at DePaul University and later a Master in Public Health at the University of Illinois at Chicago in epidemiology. Prior to Northwestern, she was the Director of Research for the Department of OB/GYN and Division of Family Planning at the John H. Stroger, Jr. Hospital of Cook County, Chicago's safety net for health care. Her background and interests include clinical research, public health, epidemiology, and clinical research informatics and analytics. Lindsay also serves as the President and Co-Founder of the Cook County Health Foundation Associate Board, supporting the Cook County Health and Hospitals System. 

Affiliates

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Adam Pah

Adam’s research journey started with a focus on probing the intricacies of biological processes from the wet bench. However, constant knock-on effects in introducing new genes into plants taught him the importance of the entire organism in terms of building a new understanding. He came to graduate school to study systems biology, but was exposed to something far sexier: complexity. Needless to say this has shaped not only the lens through which he views the world but also his interests dramatically.

As the output of his thesis research, he established a framework to aid in the large scale analysis of metabolic networks. He published this model in Scientific Reports and distributes a cartographic representation of the model with the MetExplore project. However, near the end of his graduate degree his focus shifted and he became generally more interested in human behavior and dynamics.

He is also deeply interested in and passionate about computational research best practices and attempts to blog about coding on his personal site. He feels that this intersects with his interest in conducting research in an open, collaborative manner and he is looking to share as much of what he does as possible while he learns from others.

 

Marynia Kolak

Marynia is a doctoral researcher at the GeoDa Center for Geospatial Analysis and Computation within the School of Geography and Urban Planning at Arizona State University, where she serves as the 2014-2015 GeoDa Fellow and Wellness Director for the Graduate and Professional Student Association. She investigates public health disparities at neighborhood scales using applied spatial statistics and econometrics techniques with policy-driven, systems-integrating solutions. 

Marynia has over a decade of spatial data analysis and modeling experience, building from an interdisciplinary physical sciences and communications background in academic, government, and nonprofit environments. Marynia worked at the Feinberg School of Medicine and served as the Chicago Community Engagement Coordinator for the Institute of Public Health and Medicine and Department of Family and Community Medicine, closely working with the Chicago Department of Public Health and multiple community organizations. She served as a spatial consultant and cartographer for the Chicago Neighbor Cart Evaluation to study newly placed produce carts, and developed dynamic maps and analysis for the Mayan community of AkÕTenamit, Guatemala with Engineers Without Borders. She conducts analysis of spatial and temporal variability of Chicago food access with the Center for Translational Metabolism and Health, and developed a Chicago public health data warehouse with CHITREC. Her graduate research in GIS and Cartography at John Hopkins University emphasized public health informatics, knowledge engineering, and sound data infrastructures. In her PhD studies, Marynia continues to work with Chicago community data in geospatial analysis and modeling, connecting the Complex Systems Framework (an open source decision technology) to automate workflows and scale up for bigger models of complex, multivariate data affecting the health environment.