# Episode 158 - Daniel Hader - Model Medicines Page: https://stenobird.com/podcast/the-biohub-by-avetix-7252289/episode-158-daniel-hader-model-medicines Text version: https://stenobird.com/podcast/the-biohub-by-avetix-7252289/episode-158-daniel-hader-model-medicines.md Podcast: [The BioHub - by Avetix](https://stenobird.com/podcast/the-biohub-by-avetix-7252289) Published: 2026-04-22T08:40:19+00:00 Episode link: https://podcasters.spotify.com/pod/show/max-brennan4/episodes/Episode-158---Daniel-Hader---Model-Medicines-e3i8lm8 Audio file: https://anchor.fm/s/f0076084/podcast/play/118822024/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-3-22%2F422591580-44100-2-42cc3965d02cc.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/the-biohub-by-avetix-7252289/episodes/episode-158-daniel-hader-model-medicines Duration seconds: 2711 ## Resource In this episode of the BioHub Podcast, Amber is joined by Daniel, Co-Founder and CEO of Model Medicines. Model Medicines is building an AI-driven drug discovery platform with a fundamentally different approach, focusing on applying machine learning to problems where traditional methods have failed. Daniel shares how the team is targeting biological “choke points” across multiple diseases, why throughput and inference may matter more than model size, and how they’re thinking about scaling into development as programmes move towards the clinic. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/the-biohub-by-avetix-7252289/episodes/episode-158-daniel-hader-model-medicines/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/the-biohub-by-avetix-7252289/episode-158-daniel-hader-model-medicines.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.