Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. LHS Collaboratory (December 7, 2021 12:30pm) https://events.umich.edu/event/88230 88230-21651558@events.umich.edu Event Begins: Tuesday, December 7, 2021 12:30pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Julia Adler-Milstein, PhD
Professor of Medicine and Director of the Center for Clinical Informatics and Improvement Research (CLIIR)
University of California San Francisco

Interoperability is considered a key capability of a high-performing healthcare system and has been a top policy priority for more than a decade. Implementing interoperability is, however, a complex undertaking – requiring stakeholder coordination that tackles incentives, governance, technology, standards, and more. In this talk, Dr. Adler-Milstein will describe current approaches to interoperability and where we stand with respect to current levels of national adoption. She will then discuss the implications for Learning Health System efforts at different levels of scale.

]]>
Livestream / Virtual Wed, 13 Oct 2021 13:59:31 -0400 2021-12-07T12:30:00-05:00 2021-12-07T14:00:00-05:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual Collaboratory logo
Precision Health Seminar Series (December 9, 2021 11:30am) https://events.umich.edu/event/88799 88799-21657772@events.umich.edu Event Begins: Thursday, December 9, 2021 11:30am
Location: Off Campus Location
Organized By: Precision Health

What goes on behind the scenes when clinicians use these tools to provide evidence-based care? Our panel weighs in on what is important for clinicians to know and how confident they can be when using these tools. Our panelists also describe training necessary to use these tools effectively to support medical decisions.

The panel includes varied perspectives from: an engineer, a learner, a clinician, and an educator.

* Rada Mihalcea, PhD, Professor, Electrical Engineering & Computer Science, College of Engineering
* Erkin Otles, Medical Scientist Training Program Fellow (MD-PhD student)
* Max Spadafore, MD, Resident, Emergency Medicine
* Cornelius James, MD, Assistant Professor, Internal Medicine & Pediatrics

The panel will be moderated by Vicki Ellingrod, PharmD, Associate Research Dean and Professor, Pharmacy.

This webinar is the third in the Precision Health educational series "Demystifying the Data, Processes, and Tools that Are Changing Clinical Care." Visit the Precision Health website to see recordings of previous webinars: https://precisionhealth.umich.edu/.

]]>
Livestream / Virtual Thu, 11 Nov 2021 16:27:29 -0500 2021-12-09T11:30:00-05:00 2021-12-09T12:30:00-05:00 Off Campus Location Precision Health Livestream / Virtual Precision Health at U-M
Clinical Simulation Center Brown Bag Meeting (January 18, 2022 12:00pm) https://events.umich.edu/event/90942 90942-21674992@events.umich.edu Event Begins: Tuesday, January 18, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

In this talk, Dr. Popov will present the Epistemic Network Analysis of an eight-year database of simulation center feedback provided by the American College of Surgeons Accredited Education Institutes. This analysis provides a novel perspective on the evolving field of simulation from an optional to essential modality in healthcare professions education.

Since 2005, the American College of Surgeons Accredited Educational Institutes has provided accreditation of surgically-focused simulation centers with the added benefit of identifying best practices defined as “areas far exceeding the accreditation standards or novel methods of advancing high quality, impactful education.” To evaluate the evolution of accreditation feedback and embedded associations, the compiled list of 337 best practices identified from all 247 site visits over a eight-year period was analyzed and visualized using epistemic network analysis (ENA), a quantitative ethnographic technique for modeling the structure of connections in qualitative data. The results indicated that best practices evolved from an early focus on teaching methods, faculty and curriculum development to more advanced educational topics including assessment, research, resources and overall center governance. The ENA analysis of this eight-year database of simulation center feedback provides a novel perspective on an organization and the evolving field of simulation from an optional to essential modality in healthcare professions education.

]]>
Lecture / Discussion Thu, 13 Jan 2022 10:21:57 -0500 2022-01-18T12:00:00-05:00 2022-01-18T13:00:00-05:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Network picture
LHS Collaboratory (January 18, 2022 12:00pm) https://events.umich.edu/event/89940 89940-21666535@events.umich.edu Event Begins: Tuesday, January 18, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

This presentation will explore how Big Data Science and Informatics research can overcome deficiencies within the electronic health record and optimize real world data collection. We will discuss examples of how standardized nomenclature integrated into clinical workflow can enable statistical AI methods to advance clinical decision support and improve outcome models. Our successes in radiation oncology come from single multi-institutional, multi-national and multi-professional society collaboration.

Presenters:
Charles Mayo, PhD
Professor
Director of Radiation Oncology Informatics and Analytics
Department of Radiation Oncology
University of Michigan Medical School

Michelle Mierzwa, MD
Associate Professor
Associate Chair of Clinical Research
Co-Chair of Head and Neck Clinical Trials
Department of Radiation Oncology
University of Michigan Medical School

]]>
Lecture / Discussion Tue, 11 Jan 2022 15:56:37 -0500 2022-01-18T12:00:00-05:00 2022-01-18T13:30:00-05:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Collaboratory logo
LHS Collaboratory (February 24, 2022 12:00pm) https://events.umich.edu/event/90079 90079-21667713@events.umich.edu Event Begins: Thursday, February 24, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

The session will describe the landscape history, current status, and future of federated health data networks that are used to support a Learning Health System. Dr. Brown will describe the creation, infrastructure, operation, and uses of several networks from the perspective of a network coordinating center. Dr. Harris will describe insights from participating in multiple networks as a network partner, including infrastructure, governance, and operational lessons learned.

Presenters:
Jeffrey Brown, PhD
Dr. Brown is the inventor of PopMedNet, an open-source software platform that facilitates creation and operation of distributed health data networks.

Marcelline Harris, Ph.D., RN, FACMI
Associate Professor Emerita
Department of Systems, Populations and Leadership
University of Michigan School of Nursing

]]>
Lecture / Discussion Sat, 29 Jan 2022 11:26:41 -0500 2022-02-24T12:00:00-05:00 2022-02-24T13:30:00-05:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Collaboratory logo
EMERSE Meeting Series (March 3, 2022 2:00pm) https://events.umich.edu/event/91855 91855-21683557@events.umich.edu Event Begins: Thursday, March 3, 2022 2:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Unstructured clinical data, such as clinical notes and reports, along with the computational infrastructure and tools, have seen an increasing demand from the research community in the last years, mostly fueled by recent advances in statistical and machine-learning approaches to data insight. We are meeting this demand with the Information Commons – a research data platform that hosts and provides direct access to de-identified data, advanced analytics tools, and computational environments for our research community. 

While we are realizing access to de-identified electronic health records, images, omics and biobank data, this session highlights the progress made to provide more than 110 million de-identified notes to the research community. We developed and operationalized a fully automatic de-identification algorithm and implemented EMERSE, a user-friendly tool for non-programmatic access and sophisticated textual searches on the de-identified clinical notes.   

As of December 2021 Our de-identification algorithm and our clinical notes are certified de-identified and are currently available for the UCSF researchers with IRD. The presentation covers the entire pipeline from data extraction to publication and data access focusing on the secured computational infrastructure. Furthermore, we discuss the rigorous evaluation techniques to ensure the quality of the deidentification process and the resulting data according to HIPAA and UCSF Security and Privacy protection requirements. Lastly, we showcase highlights from our research collaborations enabled by this new resource of machine-redacted, unstructured clinical notes linked with de-identified structured EHR data using EMERSE and their impact on the research community.

Speakers:
Eric Meeks
Chief Technology Officer, CTSI @University of California, San Francisco

Lakshmi Radhakrishnan
Data Scientist @University of California, San Francisco

]]>
Lecture / Discussion Wed, 02 Feb 2022 09:28:30 -0500 2022-03-03T14:00:00-05:00 2022-03-03T15:00:00-05:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion EMERSE logo
2022 Precision Health Symposium (March 16, 2022 8:00am) https://events.umich.edu/event/91836 91836-21683225@events.umich.edu Event Begins: Wednesday, March 16, 2022 8:00am
Location: North Campus Research Complex Building 18
Organized By: Precision Health

Join us for a half-day, in-person event (with remote option) that will focus on the transformative impact artificial intelligence and machine learning are having on precision healthcare. Attendees will hear from thought leaders, researchers, and practitioners who will guide the conversation from big picture concepts, to the importance of applying new research tools responsibly and inclusively, to the need for integrating new methods and inclusivity considerations into training for clinicians, researchers, and other learners.

Keynote Speaker: Bob Wachter

Featured Speakers: Akbar Waljee, Lionel Robert, Jodyn Platt

]]>
Workshop / Seminar Mon, 07 Mar 2022 16:32:48 -0500 2022-03-16T08:00:00-04:00 2022-03-16T12:00:00-04:00 North Campus Research Complex Building 18 Precision Health Workshop / Seminar Precision Health Symposium
LHS Collaboratory (March 22, 2022 12:00pm) https://events.umich.edu/event/90095 90095-21667763@events.umich.edu Event Begins: Tuesday, March 22, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Presentation 1: PCORNet and the PaTH subnetwork

Kathleen McTigue, MD, MPH, MS

In this talk, Kathleen McTigue describes the vision of PCORNet, its organization, and its value to the field of clinical research. PCORNet is divided into regional subnetworks one of which is PaTH. The organization of PaTH along with its priories will be discussed.

Presentation 2: UM’s site within PCORNet/PaTH

David Williams, PhD

The University of Michigan is an institutional member of PaTH/PCORNet.
In this talk, David Williams describes the organization and processes of the UM site within PCORNet/PaTH, studies in which UM participates, and resources for UM investigators interested in participating in PCORNet studies.

]]>
Lecture / Discussion Wed, 15 Dec 2021 22:38:45 -0500 2022-03-22T12:00:00-04:00 2022-03-22T13:30:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Collaboratory logo
2022 Investigators Awards Launch Event (April 7, 2022 10:00am) https://events.umich.edu/event/92973 92973-21698652@events.umich.edu Event Begins: Thursday, April 7, 2022 10:00am
Location: Off Campus Location
Organized By: Precision Health

Join us for a lively, fast-paced series of presentations (3 minutes each!) by our most recently funded project PIs. Hear what exciting challenges they're taking on and see how multidisciplinary teams are working together to improve health.

After these presentations, we will open breakout rooms to invite your ideas on the following topics:
Tackling Health Disparities through Precision Health
New Advances in Health Image Analysis
Using Genetic Information to Individualize Patient Care
Reinforcement Learning & Causal Inference in Healthcare
Learning from Multi-institution EHR data Opportunities to Enhance Data Sharing and Collaboration
What's missing from Precision Health resources?

The launching projects include:
Anouck Girard (COE), Josephine Kasa-Vubu (Med), Michael DiPietro (Med) -- "Using Artificial Intelligence To Broaden and Diversify Outdated Standards for the Determination of Skeletal Maturation in Growing Children"

Todd Hollon (COE), Honglak Lee (COE), Sandra Camelo-Piragua (Med) -- "Rapid Intraoperative Molecular Diagnosis of Diffuse Gliomas Using Stimulated Raman Histology and Deep Neural Networks"

Hui Jiang (SPH) -- "Statistical and Computational Methods for Asymmetric Integration of Datasets from Different Cancers for the Identification of Cancer-related Genes and Biomarkers in Case-control Analyses"

Michael Mathis (Med) -- "Predicting Cardiac Surgery-Associated Acute Kidney Injury using Federated Learning"

Amy Pasternak (Pharm), Vaibhav Sahai (Med) -- "Assessing the Impact of Germline Pharmacogenetics (PGx) on Medication Outcomes and Clinician Prescribing Decisions in Patients with Cancer"

Scott Peltier (BME), Zhongming Liu (BME) -- "Deep Learning for Prediction of Mild Cognitive Impairment and Dementia of the Alzheimer’s Type"

Xu Shi (SPH) -- "Automated Harmonization of Multi-institutional Electronic Health Records Data"


Questions? Contact Tina Creguer, tcreguer@umich.edu.

]]>
Presentation Thu, 03 Mar 2022 16:52:49 -0500 2022-04-07T10:00:00-04:00 2022-04-07T11:30:00-04:00 Off Campus Location Precision Health Presentation Precision Health Investigators Awards
LHS Collaboratory (April 19, 2022 11:00am) https://events.umich.edu/event/93101 93101-21700618@events.umich.edu Event Begins: Tuesday, April 19, 2022 11:00am
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Presentation 1:
Medical AI - Three Common Myths on the Path from Code to Clinic
Alan Karthikesalingam, MD, PhD
Research Lead, Google Health UK at Google

In this talk, Alan Karthikesalingam will discuss lessons learned in Google's experiences of taking medical AI systems from early research to clinical implementation.

Presentation 2:
Medical AI - Raising the Bar on Evidence Standards
Xiao Liu, MBChB, PhD(link is external)
Ophthalmologist and Clinical Researcher
University Hospitals Birmingham NHS Foundation Trust University of Birmingham, UK

In this talk, Xiao Liu will discuss existing and new clinical evidence standards as applied to medical AI systems. Her talk will focus on recently published standards to ensure transparency and reproducibility of clinical evidence underpinning medical AI systems, including reporting guidelines such as SPIRIT-AI and CONSORT-AI.

]]>
Lecture / Discussion Tue, 08 Mar 2022 00:04:28 -0500 2022-04-19T11:00:00-04:00 2022-04-19T12:30:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Collaboratory logo
Clinical Simulation Center Brown Bag Discussion (May 13, 2022 12:00pm) https://events.umich.edu/event/94796 94796-21768749@events.umich.edu Event Begins: Friday, May 13, 2022 12:00pm
Location: Off Campus Location
Organized By: Clinical Simulation Center

Stephen Dowker will discuss the simulation work of the Department of Learning Health Sciences, Cardiology, and Emergency Medicine colleagues to improve cardiac arrest care in the prehospital setting.

Come join the discussion on Zoom.

Link: https://umich.zoom.us/j/96776571266?pwd=RnB6ZFdnMmcyYm9ZZEpnZ0tFMEx1dz09

Meeting ID: 967 7657 1266
Passcode: 48109

]]>
Lecture / Discussion Fri, 22 Apr 2022 18:01:54 -0400 2022-05-13T12:00:00-04:00 2022-05-13T13:00:00-04:00 Off Campus Location Clinical Simulation Center Lecture / Discussion Stephen Dowker, Research Area Specialist Associate - M-RISE | EPOC
LHS Collaboratory (June 21, 2022 12:00pm) https://events.umich.edu/event/95245 95245-21789057@events.umich.edu Event Begins: Tuesday, June 21, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

"Restructuring health systems for learning: Building equity into the Learning Health System"
Learn more about ELSI-LHS (Ethical, Legal, and Social Implications of Learning Health Systems). The session will be moderated by, Jody E. Platt, MPH, PhD, Assistant Professor of Learning Health Sciences.

Speaker:
Lauren A. Taylor, PhD, MDiv, MPH
Assistant Professor
Department of Population Health
Division of Medical Ethics
NYU Grossman School of Medicine

]]>
Lecture / Discussion Wed, 25 May 2022 00:20:49 -0400 2022-06-21T12:00:00-04:00 2022-06-21T13:00:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
Clinical Simulation Center Lunch and Learn (July 20, 2022 12:00pm) https://events.umich.edu/event/95923 95923-21791439@events.umich.edu Event Begins: Wednesday, July 20, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Dr. Owens' team helped to develop the Stanford Virtual Heart (SVH), a virtual reality curriculum to teach normal cardiac anatomy as well as 6 basic congenital heart defects (CHDs). Multi-center prospective studies have shown that the SVH improves pediatric residents' as well as medical students' knowledge on CHDs. Future initiatives include developing a virtual reality curriculum for more complex lesions (such as hypoplastic left heart syndrome).

Join her presentation and subsequent discussion on Zoom.

Join Zoom Meeting:
https://umich.zoom.us/j/98458273274?pwd=MXJTTWdFaURHa3d4NE5XNjd2YmVMUT09

Meeting ID: 984 5827 3274
Passcode: 1111

One tap mobile
+16468769923,,98458273274#

Dial by your location
+1 646 876 9923
Meeting ID: 984 5827 3274
Passcode: 1111
Find your local number: https://umich.zoom.us/u/ad8qCm9Q22

]]>
Presentation Thu, 07 Jul 2022 15:11:10 -0400 2022-07-20T12:00:00-04:00 2022-07-20T13:00:00-04:00 Off Campus Location Department of Learning Health Sciences Presentation Picture source: https://www.stanfordchildrens.org/en/innovation/virtual-reality/stanford-virtual-heart
Clinical Simulation Center Lunch and Learn (September 15, 2022 12:00pm) https://events.umich.edu/event/97151 97151-21793967@events.umich.edu Event Begins: Thursday, September 15, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Join us via Zoom on Thursday, September 15, 2022 at noon. Dr. Claar will be presenting and leading a discussion for the Clinical Simulation Center Lunch and Learn meeting.

Join Zoom Meeting
https://umich.zoom.us/j/99927550075?pwd=bEgzcGVaejByTCtwbGIyZzIwd2lVQT09

Meeting ID: 999 2755 0075
Passcode: 1111

]]>
Lecture / Discussion Mon, 12 Sep 2022 11:02:06 -0400 2022-09-15T12:00:00-04:00 2022-09-15T13:00:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Dru Claar Assistant Clinical Professor Medicine at University of Michigan and Veteran Affairs Ann Arbor
LHS Collaboratory (September 22, 2022 12:00pm) https://events.umich.edu/event/96027 96027-21791723@events.umich.edu Event Begins: Thursday, September 22, 2022 12:00pm
Location: Palmer Commons
Organized By: Department of Learning Health Sciences

LHS Collaboratory Kickoff Poster Session Showcasing LHS Work at the University of Michigan

]]>
Lecture / Discussion Tue, 12 Jul 2022 10:55:57 -0400 2022-09-22T12:00:00-04:00 2022-09-22T14:00:00-04:00 Palmer Commons Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
EMERSE Meeting Series (October 11, 2022 1:00pm) https://events.umich.edu/event/98192 98192-21795695@events.umich.edu Event Begins: Tuesday, October 11, 2022 1:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Speaker:
Mark Beno, MSM
Executive Director, Cleveland Institute for Computational Biology,
School of Medicine, Case Western Reserve University

The Electronic Medical Record Search Engine (EMERSE) was installed at University Hospitals of Cleveland (UH) in 2021 by the Cleveland Institute for Computational Biology (CICB), a collaboration between Case Western Reserve University (CWRU) and UH.  At present, EMERSE contains indexed medical notes from 2018 through present for over 1.7 million UH patients.  This presentation will discuss the strategies we employed to successfully install EMERSE, the lessons-learned in rolling out EMERSE to research and operational teams, some research success stories since EMERSE adoption, and the additional tools we have developed as add-ons to the EMERSE application that we use internally for tracking EMERSE metrics and plan to share with the broader EMERSE community.

]]>
Lecture / Discussion Tue, 06 Sep 2022 23:35:08 -0400 2022-10-11T13:00:00-04:00 2022-10-11T14:00:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion EMERSE logo
LHS Collaboratory (October 20, 2022 12:00pm) https://events.umich.edu/event/96028 96028-21791725@events.umich.edu Event Begins: Thursday, October 20, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Speakers:
Alex John London, PhD
Professor of Ethics and Philosophy
Director of the Center for Ethics and Policy at Carnegie Mellon University
Explainability Is Not the Solution to Structural Challenges to AI in Medicine

Explainability is often treated as a necessary condition for ethical applications of artificial intelligence (AI) in Medicine. In this brief talk I survey some of the structural challenges facing the development and deployment of effective AI systems in health care to illustrate some of the limitations to explainability in addressing these challenges. This talk builds on prior work (London 2019, 2022) to illustrate how ambitions for AI in health care likely require significant changes to key aspects of health systems.

Melissa McCradden, PhD, MHSc
Director of AI in Medicine
The Hospital for Sick Children
On the Inextricability of Explainability from Ethics: Explainable AI does not Ethical AI Make

Explainability is embedded into a plethora of legal, professional, and regulatory guidelines as it is often presumed that an ethical use of AI will require explainable algorithms. There is considerable controversy, however, as to whether post hoc explanations are computationally reliable, their value for decision-making, and the relational implications of their use in shared decision-making. This talk will explore the literature across these domains and argue that while post hoc explainability may be a reasonable technical goal, it should not be offered status as a moral standard by which AI use is judged to be ‘ethical.’

]]>
Livestream / Virtual Sat, 01 Oct 2022 17:10:43 -0400 2022-10-20T12:00:00-04:00 2022-10-20T13:30:00-04:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual LHS Collaboratory logo
Clinical Simulation Center Lunch and Learn (October 26, 2022 12:00pm) https://events.umich.edu/event/100118 100118-21799236@events.umich.edu Event Begins: Wednesday, October 26, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

In this talk, Dr. Rooney will highlight current and planned projects that support global surgical education through simulation-based skills training.

Dr. Rooney has over twenty-five years’ experience in medical education, with the last twelve focused on simulation-based education and assessment. Dr. Rooney is Associate Professor of Learning Health Sciences and the Director of Education and Research for the Clinical Simulation Center for University of Michigan Medical School and is Chair for the ACS AEI Technologies and Simulation Committee. Her interests include research with an emphasis on assessment and measurement. Particular areas of focus include validation processes associated with simulation-based education, and the application of modern measurement models for analyses of curriculums’ impact on trainees’ performance and patient care.

Join Zoom Meeting
https://umich.zoom.us/j/99853492172
Meeting ID: 998 5349 2172

]]>
Lecture / Discussion Wed, 12 Oct 2022 12:21:44 -0400 2022-10-26T12:00:00-04:00 2022-10-26T12:50:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Deborah M. Rooney, PhD; Director of Education and Research, Clinical Simulation Center Director 3D & Innovations Lab Associate Professor of Learning Health Sciences
LHS Collaboratory (November 8, 2022 12:00pm) https://events.umich.edu/event/96029 96029-21791726@events.umich.edu Event Begins: Tuesday, November 8, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

LHS Collaboratory November Session

Speaker:

Kadija Ferryman, PhD
Assistant Professor
Johns Hopkins Bloomberg School of Public Health

In this talk, Professor Ferryman will discuss the merits and challenges of conducting health equity reviews of artificial intelligence (AI) tools used in health and medicine. The talk will examine how interdisciplinary approaches from the social sciences, bioethics and humanities, and computational fields can be involved in the development of concepts, methods, frameworks, and guidelines for understanding and governing digital health tools.

Dr. Kadija Ferryman is a cultural anthropologist who studies the social, cultural, and ethical implications of health information technologies. Specifically, her research examines how genomics, digital medical records, artificial intelligence, and other technologies impact racial disparities in health. As a Postdoctoral Scholar at the Data & Society Research Institute in New York, she led the Fairness in Precision Medicine research study, which examines the potential for bias and discrimination in predictive precision medicine.

She earned a BA in Anthropology from Yale University, and a PhD in Anthropology from The New School for Social Research. Before completing her PhD, she was a policy researcher at the Urban Institute where she studied how housing and neighborhoods impact well-being, specifically the effects of public housing redevelopment on children, families, and older adults.

]]>
Livestream / Virtual Thu, 06 Oct 2022 17:39:25 -0400 2022-11-08T12:00:00-05:00 2022-11-08T13:00:00-05:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual LHS Collaboratory logo