The KSL Team

The Knowledge Systems Lab (KSL) is a multidisciplinary team of researchers. Our expertise spans across information and library sciences, healthcare, public health, software development, and infrastructure.

Charles P. Friedman, PhD

Chair, Department of Learning Health Sciences

Josiah Macy Jr. Professor of Medical Education

Professor of Information

Professor of Public Health

Director, Knowledge Systems Lab

Research Interests: Creation of a national-scale learning health system, development and sustainability of enterprise level knowledge resources, knowledge-based applications to support decisions by care providers and consumers, methods for studying the effectiveness of technologically-based interventions, technologically-based innovations in education

ORCID: https://orcid.org/0000-0003-3395-5199


Websites: LinkedIn, Department of Learning Health Sciences

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Marisa Conte, MLIS

Associate Director, Knowledge Systems Lab

Health Infrastructures and Learning Systems (HILS) PhD Student

Department of Learning Health Sciences


Research Interests: computable phenotypes, representation and curation of computable biomedical knowledge, sociotechnical infrastructure for knowledge management and dissemination.


ORCID: https://orcid.org/0000-0001-7377-163X


Websites: LinkedIn, Department of Learning Health Sciences

Allen Flynn, PhD, PharmD

Adjunct Clinical Assistant Professor of Learning Health Sciences

Department of Learning Health Sciences


Research Interests: Health informatics, learning systems, interoperability, advice-giving systems, expert systems, medication-related knowledge representation, medication use information, medication advice, and medication-related decision-making


ORCID: https://orcid.org/0000-0002-3471-3063


Websites: LinkedIn,  Department of Learning Health Sciences

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Zach Landis-Lewis, PhD, MLIS

Assistant Professor of Learning Health Sciences

Department of Learning Health Sciences


Research Interests: Message tailoring in learning health systems, implementation science in low-income countries, knowledge-based design of performance feedback interventions, cognitive theories of feedback and advice


ORCID: https://orcid.org/0000-0002-9117-9338


Websites: Display Lab, LinkedIn, Department of Learning Health Sciences

Rachel Richesson, PhD, MPH, MS, FACMI

Clinical Professor of Learning Health Sciences

Department of Learning Health Sciences


Research Interests: Biomedical informatics (including Clinical Research Informatics and Public Health Informatics), evaluating and implementing data standards (including terminologies and classifications such as SNOMED CT, ICD, LOINC, RxNorm, CTCAE and MedDRA, and condition-specific ‘common data elements’), knowledge representation (including formal ontologies, heterogeneous data integration), the design of patient registries, and rare diseases research advocacy.  


ORCID: https://orcid.org/0000-0003-0279-7036


Websites: LinkedIn, Department of Learning Health Sciences

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Peter Boisvert, MFA

Lead Developer


Research Interests: Knowledge engineering for interoperability, meta-modeling, open systems as an enabler of healthcare access 


ORCID: https://orcid.org/0000-0003-4198-4176


Websites: LinkedIn, Department of Learning Health Sciences

Farid Seifi, PhD

Senior Developer


Research Interests: Mobilizing computable biomedical knowledge, machine learning and data mining, robotics


ORCID: https://orcid.org/0009-0008-4454-5826


Websites: LinkedIn, Department of Learning Health Sciences

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Ayshwarya Jagadeesan

Programmer Analyst Senior


Research Interests: Feedback, Artificial Intelligence


ORCID: https://orcid.org/0009-0006-7321-3543


Websites: LinkedIn, Github, Department of Learning Health Sciences

Philip Barrison

Health Infrastructures and Learning Systems (HILS) PhD Student

MD Student, University of Michigan Medical School


Research Interests: CBK for clinical decision support, healthcare workflow and process automation, business process modeling, qualitative methodologies, human centered design


ORCID: https://orcid.org/0000-0002-8099-8506


Websites: LinkedIn, Department of Learning Health Sciences

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