Dr. Yasaman Kalantar-Motamedi.
Computational biologist focused on AI drug discovery, multi-omics, and therapeutic prediction. PhD, Cambridge, focused on AI for drug discovery; MSc in Machine Learning from University College London. 12 years in AI for drug discovery and vaccine design. Leads the scientific architecture behind Agemica's AI discovery stack, connecting computational prediction with experimental validation.
PhD, Cambridge, focused on AI for drug discovery.
12 years of experience in AI for drug discovery and vaccine design.
MSc in Machine Learning from University College London.
UCL research roots in AI drug discovery and multi-omics integration.
Therapeutic prediction across cancer cell line panels.
Leads the scientific architecture behind Agemica's AI discovery stack, connecting computational prediction with experimental validation.
Architect of the AGEMICA Therapy Design AI subsystem.