HAS Online Seminar

Health Applications Society Online Seminar Series

Welcome to the HAS Online Seminar Series! This seminar series welcomes a broad range of healthcare modeling research topics such as healthcare operations, medical decision making, health policy, and health analytics. 

Speaker: Sommer Gentry is a Professor of Surgery at the New York University Grossman School of Medicine, and Co-Director of the Center for Surgical and Transplant Applied Research. She is an operations research expert with decades of experience applying optimization and simulation to improve the transplantation system. She is a senior investigator with the Scientific Registry for Transplant Recipients. She designed matching optimization methods used for nationwide kidney paired donation registries in both the United States and Canada, and helped pass a law legalizing paired donation in the United States. Her redistricting work was also instrumental in pushing the Organ Procurement and Transplantation Network to make major policy changes that reduced geographic disparities in transplantation. Her work has attracted the attention of major media outlets including Time Magazine, Reader’s Digest, Science, the Discovery Channel, and National Public Radio. She was formerly a Professor of Mathematics at the US Naval Academy, and in that role received the MAA’s Henry L. Alder award for distinguished teaching by a beginning mathematics faculty member, was a finalist for the INFORMS Daniel H. Wagner prize for excellence in operations research practice, and received the US Naval Academy’s 2021 Civilian Faculty Excellence in Research award.

Seminar Title: Why do so many donated kidneys go untransplanted? A wicked problem and the discrete event simulations that might help.

Date and Time: Friday, March 27 at 1:00 PM (EST)


Abstract
: Of 30,779 deceased-donor kidneys recovered for transplantation in 2023­­, 8583 (28%) were not used. The National Academies of Sciences, Engineering, and Medicine declared kidney non-utilization a critical problem that mandates immediate attention and remedy. Highly prioritized candidates receive many offers for kidneys that vary greatly in quality; these candidates usually refuse offers for non-ideal kidneys sequentially while the clock counts down to kidney non-use. Minutes matter because kidneys that have been recovered and stored degrade quickly while organ procurement organizations (OPOs) make offers for one patient at a time according to the allocation ordering. Many candidates would certainly have benefitted from receiving one of these non-ideal kidneys. I will describe as best I can why and how donated kidneys that could provide benefit go unused, and how I am applying discrete event simulation models to suggest alternative allocation rules that might help.

My argument is that reducing the number of donated kidneys that go untransplanted is a wicked problem. In fact, some and possibly most of the problems discussed at this IMSI conference should be reframed as wicked problems by enlarging the boundaries of the solution sets considered. Wicked problems are problems that I fear those with training like ours will reflexively formulate as optimization problems; wicked problems in fact are "ill-formulated, so neither the information to be obtained nor the solution set to be considered can be defined, and the ramifications in the whole system are thoroughly confusing." (Churchman/Rittel)

Registration Link: https://us06web.zoom.us/webinar/register/WN_3NDlOBRJSAK5fpAd9cFT1Q

Seminar List

Date

Speaker

Institution

Title

Recording

March 27, 2026

Sommer Gentry

New York University

Why do so many donated kidneys go untransplanted? A wicked problem and the discrete event simulations that might help.

Recording coming soon

January 30, 2026

Qiushi Chen

Penn State

Leveraging Data and Decision Analytic Models to Address the Substance Misuse in the US

View Recording

September 26, 2025

Stephen Chick

INSEAD

Effective Health Technologies Faster? Value-Based, Response Adaptive Learning in Clinical Trials

View Recording

September 5, 2025

Nan Liu

Boston College

Learning from Data and Practice: Playing Classics to Find New Tunes in Healthcare Scheduling

View Recording

April 25, 2025

Dr. Timothy C. Y. Chan

 

University of Toronto

Optimizing the Deployment of Defibrillators

View Recording

February 28, 2025

Dr. Turgay Ayer

Georgia Tech

Perspectives on Practice-focused Healthcare Operations Research

View Recording

June 28, 2024

Dr. Ozlem Ergun

Northeastern University

Examining Resiliency in Pharmaceutical Drug Supply Chains Incorporating Stakeholder Behaviors

View Recording

May 26, 2023

Dr. Maria Mayorga

NC State University

An End-to-end Approach to Improving Population Health Outcomes in Diabetic Retinopathy Through Personalized Screening Strategies

View Recording

March 24, 2023

Dr. Pinar Keskinocak

Georgia Tech

Infectious Disease Modeling Evaluating Interventions and Resource Allocation

View Recording

February 24, 2023

Dr. Jagpreet Chhatwal

Harvard Medical School

From Modeling to Health Policy: Increasing the Impact of OR/MS Work

View Recording

January 27, 2023

Dr. Hrayer Aprahamian

Texas A&M University

An Optimization Framework for Customized Targeted Mass Screening of Non-uniform Populations under the Availability of Multiple Schemes and Tests

View Recording

September 23, 2022

Dr. Stefan Scholtes

University of Cambridge

Some Thoughts on Causal Inference with Observational Data

View Recording

August 25, 2022

Dr. Rafael Araos

Universidad del Desarrollo in Santiago, Chile

Leveraging Population-Based Cohorts for Pandemic Response

Recording coming soon

July 22, 2022

Dr. Carri Chan

Columbia Business School

Interpretable Machine Learning for Resource Allocation with Application to Ventilator Triage

View Recording

June 24, 2022

Dr. Vishal Gupta

USC Marshall School of Business

Project Eva: Designing and Deploying the Greek COVID-19 Testing System

View Recording

May 27, 2022

Dr. Oguzhan Alagoz

University of Wisconsin-Madison

Stochastic Modeling to Personalize Cancer Screening

View Recording

April 22, 2022

Dr. Andrew Li

Carnegie Mellon University

Optimization in the Race to a Liquid Biopsy

View Recording

March 25, 2022

Dr. Dávid Papp

North Carolina State University

Optimization in radiotherapy: Quantifying the potential benefit of non-standard treatments

View Recording

February 25, 2022

Dr. Ebru Bish

The University of Alabama Culverhouse College of Business

Public Health Screening: Challenges and Opportunities for Operations Researchers

View Recording

January 28, 2022

Dr. John R. Birge

The University of Chicago Booth School of Business

Reflections on OR and Controlling a Pandemic

View Recording

September 24, 2021

Dr. Mark Van Oyen

University of Michigan

Patient Experience versus Efficiency and Methods for Optimization with Machine Learning in Healthcare

View Recording

August 27, 2021

Dr. Edward Kaplan

Yale University

COVID-19 Scratch Models to Support Local Decisions

View Recording

June 25, 2021

Dr. Alvin Roth

Stanford University

Kidney Exchange: An Operations Perspective

View Recording

    Infectious diseases continue to affect millions of people around the world every year, despite the progress in science and medicine. This presentation will provide an overview of our research team’s work on modeling various of infectious diseases, such as pandemic flu, cholera, malaria, polio, Guinea worm, and Covid-19. To understand the spread of infectious diseases and evaluate the impact of interventions, we utilized different modeling approaches, such as SEIR or agent-based, depending on the research questions or decision-support needs in practice. Our research results provide insights to decision-makers regarding the impact of combinations of interventions, considering factors such as compliance with public health recommendations, as well as the allocation of scare resources such as vaccines. 

    Seminar Organizers and Advisory Board

    The seminar organizers for 2025 are Gian-Gabriel Garcia and Melike Yildirim
    The advisory board of the Year 2022 includes Mark Van Oyen (University of Michigan), Maria Mayorga (North Carolina State University), and Timothy Chan (University of Toronto).

    Special thanks to INFORMS Health Applications Society and all board members for their enormous support!