Numerion Labs (formerly Atomwise) is an AI-native drug discovery company that pioneered the use of deep learning for structure-based drug design. Its AI chemistry superplatform - built on the COSMOS foundation model, the APEX hyper-scalable enumerator, and EXPO optimization algorithms - explores billions of drug-like molecules to find and optimize novel chemical matter. Based in San Francisco with a San Diego presence, the company is advancing its own pipeline of small-molecule programs in immune and inflammatory disease while collaborating with partners across the pharmaceutical industry.
Han Lim is the Chief Business Officer of DeepCure, a Boston-based company building an end-to-end automated platform for small molecule drug discovery that pairs AI with a virtual library of a quintillion synthesizable compounds, robotic synthesis, and automated assays. A physician-scientist by training, he holds a medical degree from the University of Queensland, a PhD from the University of Cambridge, and did postdoctoral physics research at MIT before spending roughly a decade on the UC Berkeley faculty running a lab in systems biology and bioengineering. He helped build the first generation of AI drug discovery companies as Chief Business Officer at Atomwise, where he launched the internal pipeline, raised $168M across two rounds, and signed partners including Eli Lilly and Charles River Laboratories. He now leads business development, portfolio planning, and corporate strategy at DeepCure.
Steve Worland, Ph.D., is the CEO of Numerion Labs, the AI-native drug discovery company that grew out of Atomwise. A medicinal-chemistry lifer with three decades behind him, his bench work fed the discovery of Paxlovid and Inlyta, and his operating record runs from Agouron through a Roche acquisition to a SPAC. Now he is betting that deep-learning surrogates plus GPU enumeration can search billions of molecules in seconds.