The Data Pulse

Anika Gupta

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Dive into the growing role that data science plays in the latest biomedical innovations. I’m your host, Anika Gupta, a PhD student in Bioinformatics at Harvard and the Broad Institute. Join me for ~30 minutes each week as I go behind the scenes and check the pulse with domain experts and rising stars who are leading advances in data-driven human health. For a glossary of terms and resources my guests recommend, check out: bit.ly/datapulse-glossary

2020/12/23 · ボーナス

Season 1 Wrap-up

Thank you for joining for Season 1 of the Data Pulse podcast. I hope you found the conversations over the past 6 months to be both enlightening and enjoyable. With chaos dominating the world this year, the podcast for me has been a grounding force, tapping into the power that lies in using data science to effectively tackle some of the grandest challenges in biomedicine. I have thoroughly enjoyed diving into the minds of peers and mentors who I deeply admire, building a resource for a shared vocabulary—through both the conversations and the podcast glossary, and growing a community of folks passionate about improving medicine through the lens of data. If you have a moment, check out the podcast website (linktr.ee/thedatapulse) to provide feedback on Season 1—I’d like to make it as relevant and useful for *you*! The link will also include an application to join the Data Pulse team as publicity head, audio lead, or script lead. Definitely apply if you are interested! Finally, if you enjoyed this podcast, I’d deeply appreciate a rating on whichever platform you listen. From the bottom of my heart, thank you for being a part of the Data Pulse community!
2020/12/23

Design for inference and massively parallel single cell -omics with Aviv Regev (Broad Institute -> Genentech)

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.
2020/12/22

Diagnosing the undiagnosed and combining international health records with Isaac Kohane

Rare diseases present a unique challenge in both diagnosis and treatment, given the small number of cases, often leaving them undiagnosed. I talk with Professor Isaac Kohane of Harvard Medical School about the Undiagnosed Diseases Network's efforts to catalogue and diagnose rare diseases, focusing on the role that data science--specifically, merging genotype and phenotype information, can play in bringing about hope to the families of affected individuals. We also discuss efforts to aggregate EHR data from hospitals across the world in order to better predict COVID-related symptoms and outcomes, faster than most healthcare systems have been able to. 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
2020/12/15

Digital diagnostics + therapies for autism with Dennis Wall (Stanford)

Autism Spectrum Disorder remains a pressing yet elusive spectrum of conditions. In my conversation with Dennis Wall of Stanford University, we discuss the promise of technology- and augmented reality-based systems in both diagnosis and behavioral treatment for affected individuals. He shares the importance of understanding the context in which data is collected, as well as the ability for simple algorithms to yield actionable insights in the clinic. 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
2020/12/08

Single cell-based drug discovery with Greg Ryslik (Celsius Therapeutics)

In my conversation with Greg Ryslik, previously Chief Data Officer and now Special Adviser to Celsius Therapeutics, we talk about single cell sequencing technologies and the nuance they enable with respect to identifying and targeting the cell populations that are responsible for driving diseases, as well as the machine learning frameworks he employs when approaching problems with large-scale datasets. 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
2020/12/01

Clinical trials and longitudinal studies with Manisha Desai (Stanford University)

Working with humans poses significant challenges to acquiring robust and complete data, but also remarkable opportunity, as I learn in today's episode with Professor Manish Desai of Stanford University. We discuss inferring causality from longitudinal data, clinical trial and observational study considerations, and the intersection of statistics and medicine at large. 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
2020/11/24

Biomedical data integration with Zainab Doctor (nference)

Natural language processing has long yielded exciting predictions from word-based knowledge. Through my conversation with Zainab Doctor, Translational Science Head of nference, I chat about how we can now use text as a lens into the biomedical world, as well as the ability to integrate diverse data types to synthesize knowledge of all scales and yield clinically actionable insights. 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
2020/11/17

Biologics and active learning in ML with Peyton Greenside (BigHat Biosciences)

Can we create new biological therapies with machine-guided design? Today I chat with Peyton Greenside, Co-Founder and CSO of BigHat Biosciences, on using machine learning to design therapeutic proteins, the advantages of using "smart" data over "big" data, and the importance of interpretability. 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

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予告編

Introducing The Data Pulse, featuring Anthony Philippakis (GV + Broad)

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.

Dive into the growing role that data science plays in the latest biomedical innovations. I’m your host, Anika Gupta, a PhD student in Bioinformatics at Harvard and the Broad Institute. Join me for ~30 minutes each week as I go behind the scenes and check the pulse with domain experts and rising stars who are leading advances in data-driven human health. For a glossary of terms and resources my guests recommend, check out: bit.ly/datapulse-glossary

クリエイター

Anika Gupta
配信期間

20年
エピソード

25
制限指定

不適切な内容を含まない
Copyright

© Anika Gupta