“By providing a platform that captures the complex interactions across biological systems, our LBMs are redefining drug design, personalized medicine, and bioengineering. We aim to make biology programmable and predictive, empowering researchers to solve pressing biological challenges.” ~ Le Song, Co-Founder and CTO, GenBio AI
Co-Founder and CTO
Le Song, PhD
Biography
Le Song, Co-founder and CTO of GenBio AI, is an accomplished machine learning researcher with a passion for developing innovative AI methods to tackle complex challenges in healthcare and drug design. His expertise spans structured prediction, neuro-symbolic integration, and scalable algorithms for dynamic, multi-modal data. At GenBio AI, Le leads the development of advanced foundation models that bridge the gap between artificial intelligence and biology, driving cutting-edge solutions for transformative scientific discovery.
Before co-founding GenBio AI, Le held prominent academic and research roles, including Associate Professor at the Georgia Institute of Technology and Associate Director of its Center for Machine Learning. He has also contributed to leading institutions like Google Research and Carnegie Mellon University. Recognized for his contributions to the field, Le has received multiple best paper awards at premier conferences such as NeurIPS, ICML, and AISTATS.