Conference Schedule

Speakers:

• Vince Tropepe | Vice-Dean, Research & Infrastructure, Faculty of Arts & Science, University of Toronto
• Alán Aspuru-Guzik | Director, Acceleration Consortium

Joint Presenters:

• Rick L. Stevens | Associate laboratory director for the computing, environment and life sciences, Argonne National Laboratory
• Ian Foster | Director of data science and learning division, Argonne National Laboratory

• Presenter: Linda Hung | Manager in the Energy & Materials division at Toyota Research Institute
• Toyota Research Institute (TRI) conducts research to amplify human ability, focusing on making our lives safer and more sustainable

Moderator:

• Anatole von Lilienfeld

Presenters:

• Philippe Schwaller | Language models for chemical synthesis
• Marta Skreta | Language models in the lab
• Andrew White | Language is the future of chemistry

Moderator:

• Brandon Sutherland

Presenters:

• Tejs Vegge | Accelerating power-to-X materials discovery
• Kourosh Malek | GC-MAC: Accelerating the design and integration of electrocatalyst materials for hydrogen technology
• Mohamad Moosavi | AI-guided materials design for negative emission technologies
• Robert Black | Autonomous closed-loop material discovery and process optimization of electrocatalysis materials
• Larry Zitnick | The Open Catalyst Project

Moderator:

• Padraic Foley

Presenters:

• Daniela Blanco | Efficiency unleashed: Leveraging AI and small data for better chemistry
• Gerit Brandenburg and Marko Hermsen | Scaling digital chemistry solutions for accelerated material discoveries at EMD
• Karin Strauss | Science acceleration with AI
• Santiago Miret | Leveraging open research for large-scale industry challenges in science & AI

Moderator:

• Anatole von Lilienfeld

Panellists:

• Philippe Schwaller
• Alán Aspuru-Guzik
• Andrew White

Moderator:

• Cosima Boswell-Koller

Presenters:

• Tonio Buonassisi | Progress toward closing the "materials quality gap" between high-throughput and traditional synthesis methods
• Mahshid Ahmadi | Accelerating the transition from lab to fab via high-throughput automated synthesis and characterization of metal halide perovskites
• Luke Baldwin | Continuous Flow Chemistry and Bayesian Optimization to Facilitate the Synthesis of Pyridinium Salts

Moderator:

• Kris Reyes

Presenters:

• Olga Wodo | Microstructure informatics for accelerated discovery
• Marcus Noack | Advanced gaussian process function approximation for uncertainty quantification and autonomous experimentation
• Olexandr Isayev | Navigating CMU cloud lab experimentation with reinforcement learning agents
• Bryce Meredig | Measuring and accelerating machine learning-driven materials design

Moderator:

• Christine Allen

Panellists:

• Sterling Baird
• Benji Maruyama
• Chandra Singh
• Flora Wan

Presenters:

• M. Murphy | Addressing the ethical dilemmas of SDLS and AI for substance discovery: Collaboration, sustainability, and Indigenous knowledges
• Syed Ishtiaque Ahmed | What is “self” in self-driving labs?
• Kristen Bos | From an Indigenous perspective, what should our relationship with self-driving labs be?‍
• Zoë Wool | Research ethics and the push to accelerate