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21 JUL 2026 · Podcast · Latent Space: The AI Engineer Podcast

🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)

This episode features Bo Wang and Si Chu from Xaira Therapeutics, discussing their AI drug discovery platform, X-Cell, which uses high-throughput experimentation to generate causal data for predicting cellular responses to genetic perturbat…

AI drug discovery Causal models Gene expression prediction High-throughput experimentation Virtual cell models Protein design Patient stratification Single-cell genomics CRISPR perturbation Diffusion models Biological prior knowledge Model generalization Open science Spatial transcriptomics Temporal cell dynamics

27 MAY 2026 · Podcast · Latent Space: The AI Engineer Podcast

🔬ESMFold2: The Bitter Lesson is Coming for Proteins - Alex Rives, BioHub

Alex Rives, Head of Science at Biohub, discusses ESM-C, a fourth-generation protein language model that leverages the "Bitter Lesson" of scaling with massive metagenomic datasets to achieve unprecedented protein structure prediction and des…

Protein language models AI for biology Scaling laws Protein structure prediction Protein design Mechanistic interpretability Metagenomic sequencing Antibody design Virtual cell models Open science Data generation