AI Pioneer | Drug Discovery Expert | Creative Innovator | Serial Inventor
CEO of Eidogen-Sertanty with over 40 years at the intersection of AI, chemistry, biology, and drug discovery. Host of the Renaissance Circle podcast. Builder of AI-Steve, Food Health Scan, and AI-Dad.
Chief Executive Officer - Eidogen-Sertanty
Leading the development of innovative AI-driven solutions for drug discovery and computational chemistry,
bridging the gap between molecular science and practical therapeutic applications.
Four decades of experience applying AI to solve complex scientific challenges
Pioneering computational approaches to accelerate therapeutic development
Expert in molecular modeling and structure-based drug design
Advanced analytics and big data solutions for life sciences
Drumming, recording, and creative collaborations in my music studio
Listen to audio versions of my articles and insights. Each Substack article has an accompanying audio deep dive.
Get a complete audio summary of my work, research, and creative projects.
Renaissance Circle Podcast
Steven M. Muskal, Ph.D. - AI Pioneer, Drug Discovery Expert, Innovator, and Musician
Explores science, business, and the art of feeling good.
Where innovators, scientists, and entrepreneurs discuss the future of health and performance
Language models were AI's first act. The next frontier is physical intelligence: machines that combine cognition, sensors, dexterity, balance, and energy discipline well enough to move through the world safely.
Personal research and coaching assistant grounded in PostgreSQL embeddings of email, calendar, photos, and chats.
iOS and Android app turning meals into structured nutrition data via photo capture and AI analysis.
Diabetes-aware companion to Food Health Scan: AI carb and macro estimation paired with continuous glucose monitor data.
Conversational AI that preserves voice, wisdom, and stories across generations.
From America's software bet and China's robotics push to dexterous hands, autonomous vehicles, lightness, energy, and labor disruption, AI is stepping out of the data center.
AI systems need fresh, high-quality human content. Data quality, model collapse, and verified expertise are becoming creator leverage.
Drug-to-Table uses pharmacophores, QSAR, and PharmPrint-style similarity to ask whether food-derived compounds carry drug-like biological signatures.
From a 1991 PhD thesis on neural networks for protein structure to AlphaFold's Nobel - and the through-line from AI-Dad to Toast Our Friend to Food Health to AI-Steve, all under The Governed Loop.
AI became cognitive infrastructure. The dopamine pull behind it, and how to keep your instincts sharp.
Conference presentation on the application of neural networks to unlock the potential of Pichia pastoris in biotechnology and protein expression systems.
A look back at research and insights from 2010.