May 16, 2023
Dr. Cornelia Griggs, MD – Current Treatment of Severe Obesity in Children and Adolescents
June 14, 2022
Dr. Soroush Saghafian, PhD – Can Public Reporting Cure Healthcare?
Mar 15, 2022
Constance “Connie” Lehman, MD, PhD – Deep learning and breast cancer: AI for good
Feb 8, 2022
Dr. Hawre Jalal, MD PhD – Prominent spatiotemporal patterns of COVID-19 case incidence in the US
Nov 9, 2021
Dan Ollendorf, PhD – It’s the Prices, Stupid: Evolution of Health Technology Assessment in the U.S. and Impact on Pricing
Sept 14, 2021
Pinar Keskinocak, PhD – Modeling Infectious Diseases: Projecting Spread, Evaluating Interventions, and Resource Allocation
May 11, 2021
Ashish A. Deshmukh, PhD, MPH – Changing trajectories of HPV-associated cancers and opportunities for control
April 20, 2021
Elizabeth Burnside, MD, MPH, MS – Precision Breast Cancer Screening: An Iterative Learning Health System Intervention
March 9, 2021
Jeremy D. Goldhaber-Fiebert, PhD – COVID-19 Policy Modeling and Links to Decision Makers
January 19, 2021
Benjamin Linas, MD MPH – Simulation modeling to improve the care of opioid use disorder in the U.S
David Kim, PhD, MS – Perspective in Cost-Effectiveness Analysis: 2nd US Panel’s Deliberations and Practical Guidelines for Analysts
November 24, 2020
Ankur Pandya, PhD – A framework for responding to health-improving but cost-ineffective health care
October 20, 2020
Sana Raoof, MD, PhD – American Oncology: Our history, unmet needs, and future opportunities
September 8, 2020
Madeline Adee, MPH – Ignoring the incarcerated: how people in jails and prisons are excluded from health statistics and health services, and the impact this has on disease modeling
May 12, 2020
Jennifer M. Yeh, PhD – Early initiation of breast cancer screening in childhood cancer survivors: Insights from a collaborative modeling study
April 14, 2020
Davene R. Wright, PhD – Goldilocks and the three disciplines: crafting an interdisciplinary research agenda to improve child health
February 18, 2020
Sandra J. Lee, PhD – Collaborative Modeling for Breast Cancer Screening
January 14, 2020
Danielle Currie, PhD – Falling for the wrong ‘solution’?
December 10, 2019
Nikhil Panda, MD – Building the Digital Phenotype of Recovery after Surgery: Harnessing Smartphone Data to Improve Quality of Life Assessment
November 19, 2019
TA Trikalinos, MD, PhD – lation of computationally expensive mathematical models
October 15, 2019
Marc Larochelle, MD, MPH – Using “big data” to respond to the crisis of opioid-related harms
September 18, 2019
Sung Eun Choi, PhD – Cost-effectiveness of treating oral disease among patients with type II diabetes
May 28, 2019
Kerry Reynolds, MD – Immunotherapy: More Questions than Answers
April 9, 2019
Jamie Cohen, MPH – TBD
March 12, 2019
Ryan Nipp, MD, MPH Patient-Reported Physical and Psychological Symptom Burden among Hospitalized Patients with Cancer
February 12, 2019
Steven Lubitz, MD MPH – Atrial Fibrillation: to Screen or Not to Screen
January 2019
Laura Brattain, PhD – Machine Learning for Translational Medicine
December 2018
Florian Fintelmann, MD – Role of Body Composition Metrics in Lung Cancer Care
October 2018
Frank Wharam, MD MPH – High-deductible Insurance and Cancer Care: Early Efforts to Quantify Toxicity
February 2018
Anthony Samir, MD MPH – Ultrasound as a Quantitative Imaging Biosensor: Emerging Applications and Opportunities with a focus on Synthetic Liver Biomarkers
December 2017
Selin Merdan, PhD candidate – Predictive Analytics for Optimal Detection of Metastatic Prostate Cancer
November 2017
Sarah Mercaldo, PhD – Strategies to deal with missing predictor values when constructing, validating, and applying clinical prediction models
Nate Mercaldo, PhD – Efficient study designs for longitudinal binary data
October 2017
Vicki Fung, PhD – Opioid use among patients with serious mental illness
September 2017
Krishna Reddy, MD – Tobacco and HIV: Model-based Approaches to Study Converging Epidemics
August 2017
Kelvin Tsoi, PhD – Classification of Visit-to-Visit Blood Pressure Variability: A Machine Learning Approach for Data Clustering on Systolic Blood Pressure Intervention Trial (SPRINT)