Back

Explore every episode of the podcast Discovery Engines

Dive into the complete episode list for Discovery Engines. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.

Rows per page:

1ā€“6 of 6

TitlePub. DateDuration
Inside Biotech Lab Automation - Luis Villa of Bay Area Lab Automators16 Jan 202501:13:21

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?Ā Check out our newsletter. Thanks for watching šŸ™šŸ¤™

Episode Links:

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 Automators

Connect With Us:

Platforms:

AI-Powered Animal Research - Michael Kaca of Olden Labs02 Jan 202500:57:12

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 šŸ™

Episode Links:

Chapters:

  • (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 Labsā€™ 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 Hiring

Connect With Us:

Platforms:

The Startup Building AI Scientists - Cristian Ponce & ThƩo SchƤfer of Tetsuwan11 Dec 202401:09:32

Cristian Ponce and ThĆ©o SchƤfer 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?Ā Check out our newsletter. Thanks for hanging with us šŸ™šŸ¤™

Episode Links:

Chapters:

  • (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 Tetsuwan

Connect With Us:

Platforms:

Accelerating Scientist Founders - Hemai Parthasarathy of Google X, Thiel Foundation, Nature, MIT06 Feb 202501:02:00

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?Ā Check out our newsletter. Thanks for hanging with us šŸ™šŸ¤™

Episode Links:

Chapters:

  • (00:00) - Preview & Introduction
  • (04:36) - Hemaiā€™s 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 Foundationā€™s 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) - E11ā€™s Breakthroughs as a Focused Research Organization
  • (54:55) - MITā€™s The Engine for ā€œTough Techā€
  • (56:43) - Annual Reviews & Helping Society Benefit from Scientific Knowledge
  • (01:00:04) - Opportunities to Partner, Invest, and Mentor

Connect With Us:

Platforms:

Accelerating Cancer Research - Hani Goodarzi of Arc Institute, UCSF, Exai Bio20 Feb 202501:07:03

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 šŸ™šŸ¤™

Episode Links:

Chapters:

  • (00:00) - Teaser
  • (02:12) - Episode Introduction & Preview
  • (07:35) - Haniā€™s 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 Instituteā€™s Org and Funding Structure Enables Innovative Science
  • (36:24) - How Tech Founders Are Pushing Biotech Innovation
  • (39:07) - Haniā€™s Collaboration with NVIDIA and Greg Brockman of OpenAI
  • (43:57) - The Science Behind Exaiā€™s Early Cancer Detection Platform
  • (52:05) - DNA Methylation to Improve Cancer-Specific Signals From Blood
  • (55:25) - UCSFā€™s Application of This Technology for Breast Cancer Detection
  • (58:34) - How Startups Help Bridge the Science ā€œValley of Deathā€
  • (01:04:24) - Supporting Haniā€™s Work Through Scientific Contributions, Evangelism, and Applying the Scientific Method Across Disciplines

Connect With Us:

Platforms:

Unlocking Lab Automation - Sudha Gollapudi & Madeline Wolf of The Automated Lab05 Mar 202501:10:36

Sudha Gollapudi & Madeline Wolf (ex Genentech, Ginkgo Bioworks, Calico/Alphabet) are lab automation experts and co-founders of The Automated Lab: an open resource and contract engineering service for building automated labs. See below for episode links and chapters.

Support the podcast! Subscribe to our newsletter.

Thanks for watching šŸ™šŸ¤™

Episode Links:

Chapters:

  • (00:00) - Teaser
  • (00:54) - Episode Introduction & Preview
  • (05:38) - Sudha and Madelineā€™s Academic + Professional Experience
  • (06:53) - Madelineā€™s Path Into Biotech Lab Automation
  • (09:40) - Sudhaā€™s Path Into Biotech Lab Automation
  • (10:55) - Career Pathways Into Lab Automation
  • (15:38) - What Encompasses Lab Automation?
  • (17:29) - Lab Automation Example: Workcell for ELISA Immunological Assay
  • (22:19) - Environmental Impact of Lab Automation
  • (27:31) - SLAS Conference Hot Takes; Move to Smaller Footprint Products
  • (36:28) - Modular-First Design In Lab Automation
  • (41:51) - LIMs, ELNs, And Making Data More Accessible
  • (46:10) - Solving the Human-Robot Interface With NLP, Flexible Data Infrastructure
  • (52:23) - Automation For R&D vs Manufacturing
  • (57:07) - Adapting The Culture of Science To Increased Automation
  • (01:00:29) - Standardizing Scientific Language
  • (01:08:02) - How To Partner With The Automated Lab

Connect With Us:

Platforms:

Ā© My Podcast Data
About usPrivacy Policy