Afleveringen
-
Hani Goodarzi is Quantitative and Computational Biologist, Core Investigator at the Arc Institute, Associate Professor at UCSF, and co-founder of Exai Bio and Vevo Therapeutics. Episode links and chapters below.
Support the podcast! Subscribe to our newsletter. Thanks for watching đđ€
Episode Links:
Arc InstituteGoodarzi LabExai BioVevo TherapeuticsUCSF Cancer CenterHani's LinkedInGreg Brockman's PostNCI Cancer StatsChapters:
(00:00) - Teaser (02:12) - Episode Introduction & Preview (07:35) - Haniâs Path Into Quantitative and Computational Biology (11:55) - The Emerging Promise of Foundation Models Such as Evo 2 (15:53) - Dry Side vs. Wet Side of Biology (22:23) - Pivoting Into AI for Life Science From Unrelated Domains, and the Importance of Culture in Cross-Functional Teams (27:28) - How to Develop Multidisciplinary Teams: Brutal Honesty (30:07) - How Arc Instituteâs Org and Funding Structure Enables Innovative Science (36:24) - How Tech Founders Are Pushing Biotech Innovation (39:07) - Haniâs Collaboration with NVIDIA and Greg Brockman of OpenAI (43:57) - The Science Behind Exaiâs Early Cancer Detection Platform (52:05) - DNA Methylation to Improve Cancer-Specific Signals From Blood (55:25) - UCSFâs Application of This Technology for Breast Cancer Detection (58:34) - How Startups Help Bridge the Science âValley of Deathâ (01:04:24) - Supporting Haniâs Work Through Scientific Contributions, Evangelism, and Applying the Scientific Method Across DisciplinesConnect With Us:
Twitter Bluesky LinkedIn Instagram Newsletter Feedback or questionsPlatforms:
YouTube Apple Podcasts Spotify Podcasts -
Hemai Parthasarathy is a neuroscientist (Johns Hopkins, MIT), Editor (Nature, PLOS), and expert at helping deep tech startups build and scale (Thiel Foundation, Google X, MIT The Engine). See below for episode links, chapters, our socials, and how to send us feedback. Want to dig deeper? Check out our newsletter. Thanks for hanging with us đđ€
Episode Links:
Hemai's LinkedinGoogle XBreakout VenturesThiel FoundationMIT The EngineNaturePLOS BiologyCenter for Open ScienceChapters:
(00:00) - Preview & Introduction(04:36) - Hemaiâs Experience: Google X, Breakout Labs, PLOS, Nature(05:40) - Starting As A Scientist(07:02) - How Science Actually Happens(10:02) - Why Science Communication(14:59) - PLOS Founding Story & Publishing Pledge(18:24) - Current State of Open Science & Scientific Publishing(23:37) - Founding Mission of Thiel Foundationâs Breakout Labs(27:36) - What Breakout Labs Got Right(29:54) - Protecting IP As A Deep Tech Startup(34:29) - Patient Capital and Corporate Innovation at Google X(41:02) - Bridging the Startup Valley of Death(44:11) - Factoring In Politics As A Deep Tech Founder(47:11) - New Entrants to Deep Tech(50:48) - E11âs Breakthroughs as a Focused Research Organization(54:55) - MITâs The Engine for âTough Techâ(56:43) - Annual Reviews & Helping Society Benefit from Scientific Knowledge(01:00:04) - Opportunities to Partner, Invest, and MentorConnect With Us:
TwitterBlueskyLinkedInInstagramFeedback, questions, or discuss appearing on Discovery EnginesPlatforms:
YouTubeApple PodcastsSpotify Podcasts -
Zijn er afleveringen die ontbreken?
-
Luis Villa co-founded Bay Area Lab Automators, and is a Senior Automation engineer at cell therapy manufacturing startup Cellares. See below for episode links, chapters, our socials, and how to send us feedback. Want to dig deeper? Check out our newsletter. Thanks for watching đđ€
Episode Links:
Bay Area Lab AutomatorsLuis' LinkedInLuis' BlueSkySF Hardware MeetupCellaresCarnegie Mellon MS in Automated SciencePyLabRobotDrug Development Process (Draft)Chapters:
(00:00) - Preview & Introduction(04:28) - Choosing Lab Automation Engineering as a Career(08:19) - Day in the Life of an Automation Engineer(13:41) - Where Automation Engineers Sit Within an Org(15:28) - Culture of Lab Automation Community(20:16) - Pro Tips for Networking(22:46) - How to Advance the Biotech Industry(24:20) - Segmenting the Lab Automation Market(28:28) - Estimating the Size of the Lab Automation Market(30:49) - Building a Business in Lab Automation(34:17) - Closed vs. Open Systems(39:55) - Accelerating the Drug Discovery Process(44:55) - Challenges of Manufacturing Cell Therapies(51:26) - Rise of Autonomous/Closed-Loop Labs for Science(56:53) - Onshoring for National Security(1:03:23) - Evaluating Startup Pitches in Lab Automation(1:09:20) - Resources for Lab Automation(1:10:34) - Getting Involved with Lab AutomatorsConnect With Us:
TwitterBlueskyLinkedInInstagramFeedback, questions, or discuss appearing on Discovery EnginesPlatforms:
YouTubeApple PodcastsSpotify Podcasts -
Michael Kaca is Co-Founder and Chief Science Officer of Olden Labs, a startup bringing animal research into the modern age through a suite of custom hardware and ML algorithms. See below for episode links, chapters, our socials, and how to send us feedback. Want to dig in deeper?Check out our newsletter. Thanks for hanging with us đ
Episode Links:
Olden LabsMichael's LinkedInOrgans On a Chip (OOC)FDA Drug Review ProcessWhy Animal ResearchChapters:
(00:00) - Preview & Introduction(03:07) - Why Animal Studies?(06:24) - Artificial Organs and Modeling Complexity(08:19) - Ethics of Animal Testing(12:52) - Olden Labsâ Origin Story(16:40) - A Roboticist in Life Science(21:08) - Enabling Longevity(21:58) - DOME Smart Cage Overview(24:03) - Hands-On Hardware Walkthrough(28:50) - Challenges and Pivots in Hardware Design(32:06) - Software Walkthrough(38:46) - ML Model Visual Overlays(39:13) - DeepLabCut Comparison(42:24) - Metrics Tracking and Industry Standards(45:44) - High Fat Study Example(47:16) - Getting Customer Feedback(50:10) - Enabling Data-Driven Science(52:55) - Genetic Engineering Future(55:24) - Partnership Opportunities and HiringConnect With Us:
â Twitterâ â Instagramâ â Linkedinâ â Feedback, questions, or discuss appearing on Discovery EnginesâPlatforms:
â â YouTubeâ â â Apple Podcastsâ â Spotify Podcasts -
Cristian Ponce and ThĂ©o SchĂ€fer are the co-founders of Tetsuwan, a startup building AI scientists to accelerate life science research. See below for episode links, chapters, our socials, and how to send us feedback. Want to dig deeper? Check out our newsletter. Thanks for hanging with us đđ€
Episode Links:
Tetsuwan ScientificCristian's LinkedInThéo's LinkedInAccelerate ConferenceSymbolic AI ExplainerChapters:
(00:00) - Introduction(02:44) - Why AI Scientists(06:48) - Founding Story(13:50) - First Customer Delivery(22:06) - Building in EU or US(24:43) - State Of Life Science Robots(29:50) - Emerging Technological Enablers(41:44) - Rules-Based vs ML-Based AI(49:40) - Lab Automation Industry Today(57:38) - Addressing Safety(1:07:12) - How To Join TetsuwanConnect With Us:
TwitterBlueskyLinkedInInstagramFeedback, questions, or discuss appearing on Discovery EnginesPlatforms:
YouTubeApple PodcastsSpotify Podcasts
