Engineering is the practice of applying rational design frameworks to solve real-world problems. Electrical engineers design circuits for voltage and current, chemical engineers compute kinetics and transport, mechanical engineers model…
June 23, 2026 — Today, GenBio AI announced its collaboration with NVIDIA to accelerate the development of virtual-cell world models: AI systems designed to simulate human cellular behavior across biological…
Abstract
The outlook of an AI-driven digital organism, such as a virtual cell, has recently captivated much excitement and imagination from both AI and Biology communities. With a virtual cell,…
What if we could build a virtual version of a living cell—one that lets us simulate what happens when a gene is turned off, a drug is introduced, or a biological…
Biology is fundamentally multiscale, spanning from subcellular machinery to complex organ systems. Because disease often disrupts this entire hierarchy, true understanding of disease requires integrating diverse data scales rather than…
Biology is fundamentally multiscale, spanning from subcellular machinery to complex organ systems. Because disease often disrupts this entire hierarchy, true understanding of disease requires integrating diverse data scales rather than…
Predicting how cells respond to genetic modifications or chemical treatments is a cornerstone of drug discovery. If we can accurately simulate the impact of a gene knockout or a new…
TL;DR
In this talk, Haotian Cui presents lessons from scGPT, a foundation model for single-cell biology trained on tens of millions of cells, at the Foundation Models for Biology Seminar…
DNA sequence–based foundation models have advanced the readout of regulatory signals—spanning TF binding, chromatin accessibility, and transcriptional output. Yet two gaps remain: attaining high accuracy and efficiency at scale and…
TL;DR
In this talk, Abhinav Adduri presents a framework for predicting perturbation effects conditioned on cell state at the Foundation Models for Biology Seminar Series by GenBio AI. The approach…
TL;DR
In this talk, Eli presents “Egret-1: Pretrained Neural Network Potentials for Efficient and Accurate Bio-Organic Simulation” at the Foundation Models for Biology Seminar Series by GenBio AI. He introduces…
TL;DR
Contextualized modeling, a new family of machine learning algorithms developed at CMU by GenBio AI scientists Caleb Ellington and Eric P. Xing, is laying the foundation for AIDO’s long-term…