Variational AI will participate in the upcoming Boston Pharmaceutical & Bioscience Society (PBSS) event, “Artificial Intelligence and Machine Learning: Shaping the Future of Therapeutic Drug Discovery, Development, and Manufacturing,” taking place April 28, 2026, in Cambridge, MA.
This full-day symposium brings together leaders from biotechnology, academia, and pharmaceutical companies to discuss how artificial intelligence and machine learning are transforming the drug discovery and development pipeline, from early target discovery through manufacturing.
Jason Rolfe to Present on Generative Molecular Design
“Bigger Leaps, Better Leads: How Generative Molecular Design Expands the Frontier of Drug Discovery.”

The talk will explore how generative AI approaches can accelerate the identification and optimization of novel small-molecule drug candidates, enabling researchers to explore chemical space more efficiently and discover higher-quality leads.
The session is scheduled for 10:55–11:45 AM (ET) as part of the event’s morning program.
About the Event
Hosted by the Boston Pharmaceutical & Bioscience Society (PBSS), the event will be held at Takeda, 125 Binney Street, Cambridge, MA, with both in-person attendance and webcast options available.
The program features speakers from across the AI-driven drug discovery ecosystem, including leaders from companies such as Insilico Medicine, Xaira Therapeutics, and Iambic Therapeutics, as well as researchers from MIT and industry experts in biomanufacturing and computational drug design.
Topics throughout the day include:
- AI-enabled target discovery and causal biology prediction
- Generative and multimodal AI models for drug discovery
- Applications of AI in biomanufacturing
- In-silico workflows in pharmaceutical CMC
Join the Conversation
PBSS events provide an opportunity for scientists and industry professionals to exchange ideas and explore emerging technologies shaping the future of drug discovery.
If you plan to attend the event, we look forward to connecting with you.