Date: 19 – 20 November 2025
Venue: Thomas M. Menino Convention & Exhibition Center, Boston
Details:
Originating as the AI-Driven Drug Discovery Summit in 2022, this event has rapidly evolved from a discovery-focused conference into a comprehensive summit for AI deployment across the pharmaceutical value chain. In 2025, we’re bringing together 500+ attendees and 100+ expert speakers, delivering content designed for innovators across the entire drug development pipeline—from discovery to process development and clinical trials.
Meet the team: Our account manager, Nick Markley, will be attending the event as a delegate.
If you’re attending, we’d love to connect, reach out to Nick via Linkedin to arrange a meeting and learn how StarDrop and Cerella can support your discovery projects.
Account Manager
Nick brings a well-rounded background in customer engagement, starting in B2C relationship management before advancing into account management and business development within the life sciences sector.
Before joining Optibrium, Nick held a series of commercial roles at Dotmatics, where he managed relationships with pharmaceutical companies, biotechs, academia, CROs, and services providers worldwide. In these roles, he partnered closely with scientific organizations to deliver tailored software solutions driving the ‘Lab-in-the-Loop’ future.
At Optibrium, Nick is dedicated to empowering drug discovery organizations to accelerate project timelines while maintaining cost efficiency. He believes that lasting partnerships are the foundation of customer success and is passionate about ensuring every collaboration delivers lasting value.
Latest release accelerates hit-to-candidate progression by keeping teams aligned, eliminating inefficiencies and enabling better prioritisation decisions CAMBRIDGE, UK, 04 November…
Proceeds will accelerate Optibrium’s product development and expand the global reach of its computational chemistry and AI-driven discovery technology. CAMBRIDGE,…
The research will focus on developing faster and more accurate methods for predicting drug metabolism. CAMBRIDGE, UK, 02 July 2025…
