Parhaat Celsius Recordings Podcastit (2024)

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 cha…

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Design for inference and massively parallel single cell -omics with Aviv Regev (Broad Institute -> Genentech) 48:46

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4y ago48:46

48:46

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. --- Support this podcast: https://podcasters.spotify…

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Diagnosing the undiagnosed and combining international health records with Isaac Kohane 31:02

4y ago31:02

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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, mergin…

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Digital diagnostics + therapies for autism with Dennis Wall (Stanford) 28:25

4y ago28:25

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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…

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Single cell-based drug discovery with Greg Ryslik (Celsius Therapeutics) 23:25

4y ago23:25

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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 emplo…

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Clinical trials and longitudinal studies with Manisha Desai (Stanford University) 32:11

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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 an…

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Biomedical data integration with Zainab Doctor (nference) 28:15

4y ago28:15

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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 yi…

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Biologics and active learning in ML with Peyton Greenside (BigHat Biosciences) 25:34

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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 res…

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Protective mutations with Vyas Ramanan (Third Rock Ventures, Maze Therapeutics) 28:16

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Today I discuss with Vyas Ramanan, of Third Rock Ventures and Maze Therapeutics, the evolution of the field's understanding of genetic modifiers and the role they play in disease, how drug discovery works when attempting to recapitulate protective effects of certain mutations, and how the convergence of certain advances in statistics and genomic se…

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Systematizing drug development with Ankit Gupta (Reverie Labs) 31:31

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How should one think about building "the new wave" of biopharma teams? Turns out we can rely on principles from existing domains. In this episode, I talk with Ankit Gupta, CTO and Co-Founder of Reverie Labs, on systematization as a foundation, and on optimizing properties of a drug using machine learning and software-oriented frameworks. Check out …

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Prescription digital therapeutics with Corey McCann (Pear Therapeutics) 26:48

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Prescription digital therapeutics are emerging as an entirely new therapeutic modality. Corey McCann, President and CEO of Pear Therapeutics, chats with me about what they are, how they evolve as more data are collected, and the subsequent changes that are made to the treatment paradigms of neurological and psychological disorders. We also discuss …

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Using social media to infer health with computational epidemiologist Elaine Nsoesie (Boston University) 28:44

4y ago28:44

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What does an individual's digital presence reveal about imminent infectious disease outbreaks, obesity prevalence, and the spread of medical misinformation? How can Google Maps images reveal socioeconomic factors that contribute to disparities in health? When and how does community context matter? Elaine Nsoesie, Professor at Boston University Scho…

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Molecular diagnostics and classifiers with Ava Soleimany (Harvard/MIT) 29:11

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Molecular diagnostics are emerging as a precise way to detect diseases early on in prognosis. In today's episode, I chat with Harvard+MIT PhD Student Ava Soleimany on the role of data science in activity-based molecular diagnostics for early cancer detection and how the confluence of classification techniques with feature representation of cancer b…

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Linking the environment and public health through data with Francesca Dominici (Harvard) 30:54

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Climate change has been noted as perhaps the greatest public health crisis of our times--Professor Francesca Dominici of Harvard University agrees. We discuss her data-driven efforts to demonstrate the negative health impacts from air pollutants, particularly for resource-poor communities, and how the current pandemic has further elucidated these d…

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Partially automated pathology diagnoses with Andy Beck (PathAI) 27:58

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Deep learning has shown tremendous advances in making predictions from imaging data. Today I talk with Andy Beck, Co-Founder and CEO of PathAI, about deep learning specifically applied to pathology to both diagnose and lead to treatment options for patients, as well as the global implications that deploying such a technology could have. Check out t…

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Precision medicine with Gaurav Singal (Foundation Medicine) 27:17

4y ago27:17

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In today's conversation, Gaurav Singal, who is the outgoing Chief Data Officer of Foundation Medicine, discusses the advent of molecularly-driven oncology in changing the paradigm of cancer diagnosis and treatment through precision medicine, the importance of using observational data, and the unpredictable nature of one's career that may yield a co…

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Machine-guided gene therapy design with Dyno therapeutics 23:51

4y ago23:51

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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 an…

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Radiology diagnostics & antibiotic development with Kyle Swanson (Marshall Scholar @ Cambridge University) 28:27

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Deep learning can be applied to tasks that involve a breadth of data types. I talk with Kyle Swanson, currently a Marshall Scholar at Cambridge University and previously at MIT, about his projects with Regina Barzilay on predicting breast cancer from mammograms, with performance on par with radiologists, and on designing antibiotics in a high-throu…

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Bias in machine learning for healthcare with Marzyeh Ghassemi (University of Toronto) 28:44

4y ago28:44

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Humans tend towards bias, but are our algorithms objective? Today I discuss fairness and bias in machine learning for healthcare with Professor Maryzeh Ghassemi of the University of Toronto. We delve into the ways in which bias pops up in the data that are used to train computational models, the particular dangers of systemic inequalities in health…

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Deep clinical annotation & hybrid startups with Vineeta Agarwala (Andreessen Horowitz + Stanford) 28:25

4y ago28:25

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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 th…

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Phenomics + computer vision for drug discovery with Imran Haque (Recursion Pharma) 27:36

4y ago27:36

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Conventional drug discovery ignores the spatial relationships between cells when assessing the effects of drugs. I talk with Imran Haque, VP of Data Science at Recursion Pharmaceuticals, about their data-first approach that combines "cell painting" with deep learning to assess changes in cellular morphology, thus providing a crucial lens into the m…

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