ATCC's Podcast: Behind the Biology

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ATCC: Behind the Biology Podcast

  1. 15 hr ago

    Episode 53: Building Better Bacterial Genomes

    In this episode, Dr. Ryan Wick discusses the path that led him into bioinformatics and the technologies that have shaped his work in bacterial genomics. Dr. Wick shares how an early interest in biology evolved through careers in healthcare software and science education into a passion for programming and computational biology. He explains how that journey led to the development of a tool that helps scientists visualize genome assembly graphs, and later a hybrid assembler that combines short- and long-read sequencing data to create complete bacterial genome assemblies. Dr. Wick also explores how advances in next-generation sequencing, machine learning, and bioinformatics algorithms have improved the accuracy and accessibility of genome assembly.

    Episode 53: Building Better Bacterial Genomes

  2. 18 Aug

    Episode 52: From Signals to Sequences

    In this episode, Dr. Ryan Wick to explore the tools and ideas that have shaped modern bacterial genome assembly. Dr. Wick explains how his bioinformatics tools used for bacterial genome assembly help scientists turn sequencing reads into complete, usable genomes. He breaks down the unique challenges of genome assembly and why bacterial isolates are especially well suited to hybrid approaches that combine short- and long-read data. Throughout the conversation, Dr. Wick emphasizes the importance of choosing the right tool for the right scientific question, noting that every assembly method has strengths, limitations, and intended use cases.

    Episode 52: From Signals to Sequences

  3. 11 Aug

    Episode 51: What Storm Chasers Can Teach Data Scientists

    Tune in, to hear Dr. Scott Nguyen explore what it means to trust scientific data while still questioning it carefully. Dr. Nguyen shares a memorable comparison between bioinformatics and storm chasing. In both cases, he explains, you look at data, interpret clues, make predictions, and understand that the information may not be perfect. For storm chasing, that might mean comparing radar images with what you can see in the sky. In genomics, it means checking sequencing results with other tools, understanding how the experiment was run, and making sure the conclusions are supported. The conversation also touches on imposter syndrome and how learning to trust the scientific process can help build confidence. Dr. Nguyen’s storm-chasing example is connected back to his work with genomic data, showing how curiosity, caution, and experience all play a role in good science.

    Episode 51: What Storm Chasers Can Teach Data Scientists

  4. 4 Aug

    Episode 50: Every Genome Has a Story

    Listen in, as Dr. Scott Nguyen continues the conversation by looking at how sequencing data becomes something scientists can actually use. Dr. Nguyen explains that biological data should not be interpreted on its own. To understand what a genome sequence really means, scientists need to consider where the sample came from, how the experiment was performed, what tools were used, and what limitations may exist. He then shapes the discussion around the bigger picture: bioinformatics is not just about running data through software — it also requires judgment, context, and careful review.

    Episode 50: Every Genome Has a Story

  5. 28 Jul

    Episode 49: Without Context, Data Lies

    In this episode, Dave Yarmosh sits down with Dr. Scott Nguyen to introduce the world of biocuration and why it matters in modern biology. Dr. Nguyen explains that biocuration is all about making sure scientific data is connected to the right information. In sequencing work, that means confirming that a genome is matched to the correct strain and that the strain’s background details, or metadata, are accurate. He breaks down why this matters: even the best sequencing data can become confusing or misleading if it is not connected to the right biological context. Dr. Nguyen closes by discussing how scientists need a clear starting point for understanding how careful data organization supports trustworthy science.

    Episode 49: Without Context, Data Lies

  6. 9 Jun

    Episode 48: Innovation to Application- The Next Chapter of Microphysiological Systems

    What’s next for microphysiological systems? In this episode, Dr. Carolina Lucchesi shares her perspective on how these technologies are advancing toward broader adoption in research and drug development. She discusses the potential of patient-derived models to support personalized medicine, the integration of experimental and in silico approaches, and the hurdles that remain in scaling and automation. The conversation also examines the role of MPS in improving safety and predictability—from early drug screening to infectious disease research—while offering a realistic outlook on their future impact.

    Episode 48: Innovation to Application- The Next Chapter of Microphysiological Systems

  7. 2 Jun

    Episode 47: Rethinking Models- A Scientist’s Path to Organ-on-a-Chip Innovation

    What drives a scientist to rethink how we model human biology? In this episode, Dr. Carolina Lucchesi shares how her career evolved from animal-based research to pioneering work in organ-on-a-chip systems. She discusses the technical challenges she helped solve, the growing importance of microphysiological systems in drug discovery, and how ATCC is working to bring greater consistency and trust to these emerging models. The episode also highlights the role of diverse cell sources in building more representative and predictive research systems.

    Episode 47: Rethinking Models- A Scientist’s Path to Organ-on-a-Chip Innovation

  8. 26 May

    Episode 46: Microphysiological Systems: A Human‑Relevant Bridge

    In this episode of Behind the Biology, Dr. Carolina Lucchesi explores microphysiological systems (MPS)—advanced bioengineering devices designed to mimic key organ or tissue functions in a more physiologically relevant way than traditional 2D culture, while offering a more human-relevant alternative than many animal models in specific contexts. Dr Lucchesi digs into what it takes to build and run MPS in practice: choosing materials (and understanding tradeoffs like small molecule absorption), selecting the right cell source (primary cells, organoids, iPSC derived cells, or cell lines), accounting for organ specific mechanical forces (like shear stress), and managing biological complexity across multiple cell types, media, and timelines. The episode closes with how cross industry collaboration and protocol harmonization can improve reproducibility and make data more comparable across platforms.

    Episode 46: Microphysiological Systems: A Human‑Relevant Bridge
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ATCC: Behind the Biology Podcast

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