Dr. Vafa Bayat

Bio

Dr. Vafa Bayat is a physician-scientist and AI/ML leader who serves as Head of R&D at Bitscopic, with seven years building production machine-learning systems at the intersection of large language models, multi-agent orchestration, and precision medicine. He earned his M.D. and Ph.D. through the Medical Scientist Training Program at Baylor College of Medicine and completed pathology residency and a postdoctoral fellowship at Stanford. At the Veterans Health Administration he architected enterprise AI pipelines across more than a million patient records -- automating COVID-19 and influenza surveillance, cutting epidemiological reporting from 24 hours to one, and building models to predict Long COVID from routine lab tests. More recently he has designed multi-agent systems in which specialized models divide the work and adversarially verify one another to run data engineering, modeling, and forecasting end to end. His research appears in Nature Genetics, Genome Medicine, Cell, and Science.

The big questions

The kind of questions this session opens up.

1. Have you ever wondered what it will mean for human dignity when a machine designs the cure that saves your life?
2. If AI can compress decades of discovery into months, who decides which diseases -- and which patients -- it works on first?
3. When an intelligence we don’t fully understand begins designing the medicine we depend on, how do we keep trust from outrunning proof?
4. Will AI make healing more human by freeing us to care, or less human by teaching us to defer?