Preliminary speakers and panellists! Early-bird registration closes: July 31
With the Acceleration Consortium’s (AC) first annual conference just weeks away (Aug 30–Sept 2, 2022), we’re excited to share our preliminary list of confirmed speakers and panellists. Based at the University of Toronto, the AC is a global community of academia, government, and industry who are accelerating the discovery of new materials and molecules needed for a sustainable future.
Accelerate is an interdisciplinary conference designed to bring together change-makers in academia, industry and government who are shaping the emerging field of accelerated science. From August 30 to September 2, 2022, join us in Toronto to explore the power of self-driving labs (SDLs), which combine AI, automation, and advanced computing to accelerate materials and molecular discovery. Register before July 31 to take advantage of early-bird prices!
Speakers and panellists (so far)!
With our first annual conference just weeks away, we’re excited to release our preliminary list of confirmed speakers and panellists just below. More participants will be announced shortly!
Alán Aspuru-Guzik, University of Toronto
Milad Abolhasani, North Carolina State University
Curtis Berlinguette, University of British Columbia
Christoph Brabec, FAU Erlangen-Nürnberg
Keith Brown, Boston University
Caroline Cloutier, National Research Council Canada
Ali Dolatabadi, University of Toronto
Joshua Gans, University of Toronto
Animesh Garg, University of Toronto
Johannes Hachmann, University at Buffalo
Jason Hattrick-Simpers, University of Toronto
Jason Hein, University of British Columbia
Kedar Hippalgaonkar, Nanyang Technological University
Brett Helms, Lawrence Berkeley National Laboratory
Yousung Jung, Korea Advanced Institute of Science and Technology
Eugenia Kumacheva, University of Toronto
Ha-Kyung Kwon, Toyota Research Institute
Benji Maruyama, Air Force Research Laboratory
Lilo D. Pozzo, University of Washington
Joshua Schrier, Fordham University
Shijing Sun, Toyota Research Institute
Helen Tran, University of Toronto
Anatole von Lilienfeld, University of Toronto
Jie Xu, Argonne National Laboratory
Conference talks, workshops, and networking opportunities will allow attendees to connect with a global community working to realize a healthier, more sustainable, and materially different future. Join us to explore topics across our three content tracks:
Fundamental discovery and leading-edge tools: Deep and machine learning algorithms for AI-aided experimental design, quantum-based materials simulations and optimized structure-function models, chemical synthesis and materials characterization, chemical ontologies and materials databases, and robotics and control systems
Sustainable materials for a resilient world: Development of solid-state materials, sustainable soft materials, low-carbon structural materials, small molecule drugs, etc.
Designing a translation ecosystem: Leadership in commercialization, training, and education