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About This Podcast
This podcast discusses the concepts of data science and public health, and then delves into their intersection, exploring the connection between the two fields in greater detail.
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Recent Episodes
What Genomic Surveillance Sees
Genomic surveillance helps public health detect emerging variants, map transmission, and adapt response strategies. This episode explains how pathogen sequencing works, what it can and cannot tell…
Unsupervised Learning Reveals Hidden Health Patterns
Supervised learning answers the questions we already know to ask. Unsupervised learning reveals the ones we don’t. This episode explains how unsupervised learning uncovers hidden patient phenotypes,…
Applications of Stochastic Processes in Biostatistics
Health outcomes are not deterministic. This episode explains how stochastic processes model randomness in disease progression, epidemics, genetics, and clinical trials, and why these tools are…
Computing With Big Data in Biostatistics - Part Two
Big data doesn’t stop at basic computing. This episode continues the discussion by exploring software development, databases, visualization tools, and large-scale computing systems used in…
Wastewater Early-Warning Systems: How AI Turns Sewers Into Public Health Radar
What if public health could detect outbreaks before hospitals fill up? Wastewater-based epidemiology turns sewage into an early-warning system for population health. This episode explains how machine…
Causal Inference in Epidemiology: From DAGs to Target Trial Emulation
Epidemiology is full of patterns, but public health decisions require causes. This episode explains how causal inference helps move from association to intervention, using tools like DAGs and target…
Computing With Big Data in Biostatistics - Part One
Big data drives modern biostatistics, but how is it actually computed? This episode breaks down the core ideas behind computing with big data, including data processing, optimization, programming…
Not All Disease Tracking Is the Same
Public health depends on surveillance to detect outbreaks, monitor trends, and protect populations. This episode breaks down the main types of epidemiologic surveillance and explains how they work…
Supervised Learning: How AI Predicts Disease
Supervised learning is one of the most powerful tools in modern public health analytics. In this episode, we break down what supervised learning is, how it works, and how it’s used to predict…
How Big Surveys Really Get Their Data - Part Two
This episode is Part Two of our deep dive into the theory and methods of sample design. We move beyond the basics and explore advanced sampling techniques used in real-world public health,…
Why Genetics Alone Can’t Explain Disease
Genetic epidemiology and statistical genetics help explain how genes and environment work together to shape health outcomes. This episode introduces the foundations of both fields, their methods, and…
The Role of AI Chatbots in Health Systems
Chatbots are becoming powerful tools in public health—from emergency communication to patient education and triage. This episode introduces how public health chatbots are built, where they are used,…
What Protects the U.S in Health Crises?
Public health emergencies require preparation long before a crisis begins. This episode introduces MedicalCountermeasures.gov, explains its purpose, and explores how it supports preparedness,…
The Science Behind Medication Safety
Pharmacoepidemiology plays a critical role in understanding how medications are used and how safe and effective they are in real-world populations. This episode introduces the field, explains what…
How Big Surveys Actually Get Their Data - Part One
Sampling design determines how well data represents real populations. In Part One of this series, we introduce the theory and methods of sample design, explain why sampling matters in biostatistics,…
Statistical Computing for Biostatistics
Statistical computing is the backbone of modern biostatistics. In this episode, we introduce what statistical computing is, the core algorithms and computational techniques it relies on, and why…
NLP for Automated De-Identification of Health Records
Protecting patient privacy is essential in public health and medical research. This episode explains how natural language processing is used to automatically de-identify health records, the tools…
How Epidemiology Studies What We Eat
Nutritional epidemiology explores how diet and nutrition influence health at the population level. This episode introduces the core concepts of the field, the methods used to study diet and disease,…
Why Where You Live and Work Matters for Health
Environmental and occupational epidemiology helps explain how the places we live and work influence health outcomes. In this episode, we introduce the core concepts of this field, why it is essential…
Advanced Time Series Methods Explained - Part Two
This episode is Part Two of our introduction to time series analysis in biomedical applications. We explore advanced methods used in public health and medical research, including ARIMA models,…
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Data Science x Public Health has published 105 episodes since December 2025, covering topics in Courses, Education.
Data Science x Public Health is currently highly active with new episodes daily. Average episode length is 6m.
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