Speakers

Christine Allen

University of Toronto and Intrepid Labs Inc., Canada

Talk title: Transforming Drug Formulation Development: The Role of AI and Automation

Abstract:

Bio: Dr. Christine Allen is a full professor at the University of Toronto (U of T) and an internationally recognized leader with more than 180 publications in drug formulation and development. She has received numerous awards, and is a distinguished fellow of prestigious societies including the American Institute for Medical and Biological Engineering, and the Canadian Academy of Health Sciences.

Christine is committed to the translation and commercialization of her research. She is a co-founder and CEO of Intrepid Labs Inc., a company that is accelerating pharmaceutical drug development through integration of AI, automation and advanced computing. Her lab at U of T is deeply engaged in industry partnerships, playing a key role in advancing drugs from early-stage research to clinical trials.

Her leadership has been pivotal in several scientific societies, notably as President of the Controlled Release Society and the Canadian Society for Pharmaceutical Sciences. In academia, her roles have included the inaugural Associate Vice-President and Vice Provost Strategic Initiatives and Interim Dean of the Leslie Dan Faculty of Pharmacy.

Michael Beetz (TBC)

Talk title: TBA

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University of Bremen, Germany

Genki N Kanda

Institute of Science Tokyo, Japan

Talk title: The Living Laboratory: Fully Automated Science Powered by AI Agents and Physical AI

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Bio:

Michelle Lee

Talk title: TBA

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Bio:

Medra AI

Pascal Mieville

Ecole Polytechnique Fédérale de Lausanne, Switzerland

Talk title: Storms, Drones, and Dolphins in a self-driving laboratory

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Bio:

Rodrigo Moreno

Talk title: Navigating Modular Reconfigurable Lab Automation: A Quick to Reconfigure Platform

Abstract:

Bio: Rodrigo is an Assistant Professor working with easy to reconfigure Lab automation for chemistry synthesis processes at the IT University of Copenhagen. Rodrigo joined ITU in 2020. He holds a PhD in Systems and Computer Engineering from Universidad Nacional de Colombia. He started working in lab automation encapsulating chemical unit operations as part of the BIG-MAP EU project and nowadays continues working on reconfigurable lab automation systems with focus in nanoparticle synthesis. His research interests include AI and machine learning applied to robotics, evolutionary robotics, modular robots and automation. Other projects he is working on include the EMERGE project, an easy to build modular robot system and the MOZART EU project for developing modular surface manipulation.

REAL Lab, IT University of Copenhagen, Denmark

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