Podcast artwork thumbnail for SERious EPI

SERious EPI

Hailey Banack, Matt Fox

Booking Overview

This is an academic interview show focused on epidemiology, causal inference, and cutting-edge research methods, typically featuring external researchers who explain how methods address practical problems. Credible pitches would include epidemiologists, biostatisticians, causal inference specialists, and public-health researchers with substantial methodological expertise or relevant published work; booking is likely high difficulty because the show targets leading specialists in a narrow field.

Metrics

Episodes: 72

Frequency: Monthly

Rating: 4.9/5.0

Estimated listeners: 1,000 - 10,000

Gender skew: Neutral

Listener location: USA

Instagram: 204 followers

Contact Information

Publicly listed emails

sbevan@epiresearch.org

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Host

Hailey Banack - Co-host of SERious EPI, interviewing leading researchers about epidemiologic methods and causal inference.

Matt Fox - Co-host of SERious EPI, interviewing leading researchers about epidemiologic methods and causal inference.

Booking Intelligence

Booking Requirements

high
Typical Credentials:  
Academic epidemiologists, biostatisticians, causal inference researchers, and public-health methodologists with specialized expertise in epidemiologic methods and relevant research experience.
Required Achievements:  
Published research in epidemiology, biostatistics, or causal inference, Recognized expertise in a specialized epidemiologic method, Advanced academic or research contributions in public health methodology

Recent Guest Discussions

Lucy DAgostino McGowan - Random Error, Systematic Bias, Confidence Intervals, Standard Errors, Sample Size, Replication, Matching, Weighting, Baseline Adjustment, And Statistical Significance.

Louisa Smith - Selection Bias, Colliders, Confounding, Censoring, Loss To Follow-up, Generalizability, Competing Events, Target Populations, And Inverse Probability Weighting.

Alexis Reeves - Measurement Bias, Differential And Nondifferential Measurement Error, Variable Measurement, Directed Acyclic Graphs, Causal Identification, And Residual Bias.

Ashley Naimi - Confounding, Exchangeability, Faithfulness, Causal Effects, Observational Data, And The Use Of Directed Acyclic Graphs To Understand Bias.

John Jackson - Causal Interaction, Effect Measure Modification, Factorial Trials, Risk Stratification, Directed Acyclic Graphs, Confounding Control, Causal Pies, Synergism, And Antagonism.

Recent Topics

Health, Epidemiology, Causal Inference, Biostatistics, Public Health

Episodes

Here's the recent few episodes on
SERious EPI
:

S5E10: What We Learned, What We Got Wrong, and What Comes Next

October 15, 2026

In this season finale, Matt and Hailey reflect on what they learned, and are still wrestling with, after working through Part I of Causal Inference: What If. They discuss how revisiting familiar concepts can reveal new layers of nuance, why the current enthusiasm for target trial emulation shouldn’t be mistaken for a shortcut to causal inference, and the importance of recognizing when the available data or scientific question simply doesn’t support a target trial. The conversation turns to th...

S5E9: Random Error Is the Easy Part

September 15, 2026

In this episode of SERious Epidemiology, Hailey and Matt are joined by Lucy D’Agostino McGowan to discuss Chapter 10 of Causal Inference: What If? and the problem of random variability. This episode explores the distinction between random error and systematic bias, what confidence intervals and standard errors actually tell us, and why increasing sample size can improve precision without making a biased estimate any closer to the truth. Lucy offers a statistician’s perspective on why random e...

S5E8: Selection Bias: Colliders, Censoring, and Confusion

August 12, 2026

In this episode of SERious Epidemiology, Hailey and Matt are joined by Dr. Louisa Smith to discuss Chapter 8 of Causal Inference: What If on selection bias. The conversation explores how selection bias can arise through conditioning on a collider, how it differs from confounding, and how loss to follow-up and censoring can introduce bias even in randomized trials. A major theme of this episode is the relationship between selection bias and confounding. We also discuss generalizability, target...

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Frequently asked questions

Here's some frequently asked questions for
SERious EPI
:

How do I get in touch with SERious EPI?

SERious EPI is hosted by Hailey Banack and Matt Fox. Its publicly listed email is sbevan@epiresearch.org. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.

What is the email for SERious EPI?

The publicly listed email for SERious EPI: sbevan@epiresearch.org.

How many listeners does SERious EPI have?

Podseeker estimates SERious EPI reaches 1,000 to 10,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for SERious EPI?

SERious EPI typically books industry leaders. Typical guest background: Academic epidemiologists, biostatisticians, causal inference researchers, and public-health methodologists with specialized expertise in epidemiologic methods and relevant research experience. Common among recent guests: Published research in epidemiology, biostatistics, or causal inference; Recognized expertise in a specialized epidemiologic method; Advanced academic or research contributions in public health methodology. Recent guests include Lucy DAgostino McGowan, Louisa Smith, and Alexis Reeves.

How hard is it to get booked on SERious EPI?

High. It mostly books established leaders in its field.

What topics does SERious EPI cover?

Recent episodes cover Health, Epidemiology, Causal Inference, Biostatistics, and Public Health. Pitch an idea tied to one of these topics and mention a recent episode.

Publicly listed emails

sbevan@epiresearch.org

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

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