Date: September 18, 2026
Time: 11:00 – 3:00pm, ET
Speaker(s): S. Cristina Oancea, Luciana B. Nucci, Vinay K. Cheruvu and Jayanta Gupta
Date: September 17, 2026
Time: 11:00 – 3:00pm, ET
Speaker(s): S. Cristina Oancea, Luciana B. Nucci, Vinay K. Cheruvu and Jayanta Gupta
Date: July 29, 2026
Time: 10:00 – 11:00am, MT
Speaker(s): Teresa Shamah Levy and Shania Manríquez Pardo,
What sparked your decision to become an epidemiologist? My path to becoming an epidemiologist was not linear and began while I was working as a research coordinator conducting research in cardiology. During this time, I was working with a colleague who was completing his PhD in epidemiology, and we would have a lot of really interesting and very nerdy conversations about epidemiology. It sparked my interest in the field and gave me the necessary nudge to apply to the PhD program at McGill University. This was not an easy decision, given I had just had my second child and was sleep deprived! Reflecting on this time of my life now and knowing what I know, I have no regrets. What do you see as the biggest obstacle facing epidemiologists in the next five years? As an epidemiologist, this is an exciting time. The availability of large-scale data, collected through both traditional means and innovative technologies, has expanded our ability to understand how social, genetic, and built environments shape health across the life course. However, this data-rich landscape also presents an important challenge for epidemiologists. The sheer volume and heterogeneity of data raise concerns about how to balance quantity with quality, […]
Explore key evidence on medications for opioid use disorder (MOUD) during pregnancy and postpartum, including clinical outcomes, access, and policy considerations. This playlist is curated by Emilie Bruzelius (Columbia University Mailman School of Public Health, Department of Epidemiology) and Marian P. Jarlenski (University of Pittsburgh School of Public Health, Department of Health Policy and Management).
Date: July 8, 2026
Time: 10:00 – 11:00am, MT
Speaker(s): Kyle Bernstein, Benjamin Hallowell, Joe Silva
Date: May 27, 2026
Time: 10:00 – 11:00am, MT
Speaker(s): Marcia Pescador Jimenez and Andreu Comas García
Date: May 13, 2026
Time: 10:00 – 11:00am, MT
Speaker(s): Linda Ejlskov, National Centre for Register-based Research (NCRR), Aarhus University, Denmark
Date: April 29, 2026
Time: 10:00 – 11:00am, MT
Speaker(s): Lindsey Russo, Meghana Shamsunder, Lidia Mínguez-Alarcón, Xiaotao (Rony) Zhang, Anne Marie Jukic
This playlist brings together key scholarly work on benchmarking observational studies against randomized trial evidence, highlighting methodological advances and challenges in causal inference research. Featured authors Haidong Lu and Shirley Wang provide expert perspectives on comparing observational designs with randomized trials to assess validity and strengthen evidence synthesis. Lu and Wang’s contributions, grounded in epidemiologic research practice, deepen understanding of how observational analyses can be evaluated and interpreted in the context of randomized evidence.
