The Data Pulse

Gene therapies have emerged as a promising new modality for curing genetically-defined diseases; however, the naturally occuring variation remains limited. I chat with Sam Sinai and Jeff Gerold, Co-Founder/Lead ML Scientist and Head of Data Science, respectively, of Dyno Therapeutics about the role machine learning can play in better identifying and designing gene therapy vectors for a suite of traditional bottlenecks in the gene therapy development workflow, as well as the importance of building an environment where cross-talk between different domains is seamless.

Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary

Today I speak with Vineeta Agarwala, General Partner at Andreessen Horowitz and a physician at Stanford. She shares the importance of capturing time-course, evolving data on patients that range from the molecular to the clinical levels ("deep clinical annotation"), as well as key ingredients of a successful tech-biotech hybrid startup.

Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary

What does a hybrid team working at the interface of machine learning and biomedicine look like? In this episode, I chat with Daphne Koller, Founder and CEO of insitro, about a data-first approach to drug discovery, building the systems that enable large-scale learning, and the importance of a bilingual culture in "digital biology".

Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary

Welcome to The Data Pulse, a podcast that explores the growing role that data science and computation play in the latest biotechnology and biomedical innovations. Join me as I speak with pioneers in the space, to learn more about how they use data-driven tactics to advance biology and medicine, to understand the principles that guide their work, and to better equip yourself with the language and thinking essential to effectively contributing to this space.

I’m your host, Anika Gupta, a PhD student in Bioinformatics at Harvard and the Broad Institute. To introduce the podcast, I'm joined by Anthony Philippakis, Chief Data Officer of the Broad Institute and a Venture Partner at GV (formerly Google Ventures). We discuss his unique journey and roles, why this intersection is promising, and what the key ingredients for innovation in this space are.

To bring you each episode, I’ve been fortunate to tap into the wisdom of many of my mentors and peers who are trailblazing at this convergence. In addition to my conversations, I’ve created a glossary of terms, definitions, and links to references (bit.ly/datapulse-glossary) that my guests mention.

From single cells to international consortia and from striving despite fear to creating a "vector field" to inspire teams working in sync, Dr. Aviv Regev shares countless insights into how she has merged the worlds of computation and biomedicine, first at the Broad Institute and now at Genentech.