About us

The Center for Health Information Partnerships (CHIP) serves a mission to bring people, communities, and data together to drive measurable and sustained improvement in health.

Since 2010, we have worked with our partners to strengthen the use of health information technology and improve access to health data.

CHIP is part of the Institute of Public Health & Medicine based at Northwestern University Feinberg School of Medicine.

Our Faculty and Staff
Job Listings

Our Mission

To bring people, communities, and data together to drive measurable and sustained improvement in health


Our Vision

Information-driven health for all

Faculty

Staff & Students

Zaina Awad

Communications Coordinator

Team Member

Jennifer Bannon

Health Informatics Facilitator

Andrea Bempong

Health Informatics Facilitator

Rick Chagnon

Database Manager

Beth Copeland

Research Study Coordinator

Yu Deng

PhD Student, Doctoral Research Assistant

Team Member

Erin Dominici

Data Analyst

Lauren Echols

Research Project Coordinator

Kathy FitzGibbon

Health Informatics Facilitator

Meghan Gelecke

Program Assistant II

Anika Ghosh

Data Analyst

Charon Gladfelter

Research Operations Lead

Zahra Hosseinian

Project Management Associate

Chika Ike

Program Assistant and Front Desk Receptionist

Kayla Jeter

Research Study Coordinator

Lauren Kadziel

Health Informatics Facilitator

Lindsey Kane

Research Project Coordinator

Team Member

Katya Klyachko

Research Development Lead

Maggie Madden

Data Analyst

Team Member

Vesna Mitrovic

Data Group Lead

Team Member

Tracy Mrowczynski

Center Administrator

Mercedes Nodal

Research Study Coordinator

Elissa Oh

Data Analyst

Sam Ross

Health Informatics Facilitator

Andrew Wang

PhD Student, Doctoral Research Assistant

Eva Winckler

Outreach Manager

Lindsay Zimmerman

PhD Student, Doctoral Research Assistant

Join Us

CHIP collaborators are part of the public, private and nonprofit sectors and have an interest in working toward a world where health outcomes are improved because data is used effectively.

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