Episode 23: When Biologists Start Thinking Like Engineers

<p>This week, we sit down with <a href="https://www.linkedin.com/in/katiemlennon/" target="_blank" rel="noopener noreferer">Katie Lennon</a>, CSO of Exthymic, who makes a case most bench scientists aren&#39;t ready to hear: biology isn&#39;t just a discovery discipline anymore. It&#39;s engineering. Katie walks us through what it actually looks like to build biology, hardware, and software concurrently, why that requires a shared language across disciplines, and what gets lost when teams hand off instead of collaborate.</p><p>We also get into the unglamorous side of AI in the lab. More data documentation, peer-checking metadata before an experiment is marked complete, and knowing exactly where LLMs quietly get things wrong. Katie also shares a surprisingly effective strategy for getting scientists over their fear of AI tools. </p><p>Companies mentioned in the show: </p><p><a href="https://exthymic.com/" target="_blank">https://exthymic.com/</a><br><a href="https://oni.bio/" target="_blank">https://oni.bio/</a><br><a href="https://www.potato.ai/" target="_blank">https://www.potato.ai/</a><br><a href="https://ollie.ai/" target="_blank">https://ollie.ai/</a></p><p>-------------------</p><p>Sign up for KAMI Think Tank&#39;s Maven course <a href="https://maven.com/kamithinktank/ai-literacy-for-life-sciences-healthcare" target="_blank" rel="noopener noreferer">here! </a>Classes start in less than 10 days!!</p>