Artificial intelligence (AI) and machine learning (ML) are transforming every facet of scientific research, offering powerful tools to accelerate drug design and development. This graduate seminar series delves into the latest applications of AI/ML in biomolecular science and early-stage drug discovery.

Invited speakers will cover a diverse range of themes, including benchmarking AI techniques in drug design, AI-driven protein and antibody engineering, biomarker discovery using machine learning, in silico modeling with virtual cells and digital twins, and the integration of AI in genomics for clinical diagnostics. Through these expert-led sessions, participants will gain insights into how AI is reshaping the future of drug discovery.

Students from all graduate programs are invited to participate and will have the opportunity to network with speakers and peers and will be required to provide personal reflections at the end of each seminar.