Meet the speakers and panelists participating in the conference.

Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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01
featured speakers
Ivan Zhang
Keynote Talk: Large language models are useful general intelligence
  • Co-founder of Cohere, an enterprise-focused generative artificial intelligence startup, that recently secured $270 million in a Series C round of venture capital
  • Ivan came to computers in high school, when a friend pushed him into taking a computer science class
  • The first program he ever wrote was a chess AI—even though he didn’t actually know how to play chess
Ivan Zhang
Keynote Talk: Large language models are useful general intelligence
  • Co-founder of Cohere, an enterprise-focused generative artificial intelligence startup, that recently secured $270 million in a Series C round of venture capital
  • Ivan came to computers in high school, when a friend pushed him into taking a computer science class
  • The first program he ever wrote was a chess AI—even though he didn’t actually know how to play chess
Suzanne Gildert
Keynote Talk: Human-like intelligence in general purpose robots
  • Co-Founder & CTO at Sanctuary AI
  • Before Sanctuary, Suzanne founded Kindred, the world’s first robotics company to use reinforcement learning in a production environment
  • The acquisition of Kindred by Ocado in November 2020 was the third-largest exit for a robotics company in Canadian history
Suzanne Gildert
Keynote Talk: Human-like intelligence in general purpose robots
  • Co-Founder & CTO at Sanctuary AI
  • Before Sanctuary, Suzanne founded Kindred, the world’s first robotics company to use reinforcement learning in a production environment
  • The acquisition of Kindred by Ocado in November 2020 was the third-largest exit for a robotics company in Canadian history
Linda Hung
Keynote Talk: Closing the experiment-simulation gap for energy materials
  • Manager in the Energy & Materials division at Toyota Research Institute
  • Integrates machine learning and data science methods with experiment and simulation to accelerate the development of new, sustainable materials
  • Majored in applied math and chemistry: math because theorems can be proved just once (and the proof will continue to hold throughout time), and chemistry because theory connects to the real world
Linda Hung
Keynote Talk: Closing the experiment-simulation gap for energy materials
  • Manager in the Energy & Materials division at Toyota Research Institute
  • Integrates machine learning and data science methods with experiment and simulation to accelerate the development of new, sustainable materials
  • Majored in applied math and chemistry: math because theorems can be proved just once (and the proof will continue to hold throughout time), and chemistry because theory connects to the real world
Ian Foster
Joint Keynote Talk: AI-driven large-scale automated scientific experimental laboratories
  • Director of Argonne’s Data Science and Learning Division
  • Co-founder of the popular and long-lived data-sharing tool Globus
  • Widely considered the father of grid computing, the precursor to cloud computing
Ian Foster
Joint Keynote Talk: AI-driven large-scale automated scientific experimental laboratories
  • Director of Argonne’s Data Science and Learning Division
  • Co-founder of the popular and long-lived data-sharing tool Globus
  • Widely considered the father of grid computing, the precursor to cloud computing
02
confirmed speakers & panelLists

Meet Our Speakers and Panellists

Filter by Topic
Aaike van Vugt
VSParticle
Commercialization
Alán Aspuru-Guzik
University of Toronto
Accelerated experimentation
Andrew White
Future House
AI tools
Andy Cooper
University of Liverpool
Robotics
Anjuli Szawiola
Natural Resources Canada
Other
Avi Goldfarb
University of Toronto
Commercialization
Benji Maruyama
US Air Force Research Laboratory
Robotics
Bowen Li
University of Toronto
Biotech
Bryce Meredig
Travertine Labs LLC
AI tools
Chandra Singh
University of Toronto
Energy / sustainability
Cosima Boswell-Koller
National Science Foundation
Other
Daniela Blanco
Sunthetics
AI tools
Dean Mulyk
Thermo Fisher Scientific
Accelerated experimentation
Fadwa El Mellouhi
Hamad Bin Khalifa University
Chemical reactions
Flora Wan
Vector Institute
Ecosystem
Gerit Brandenburg
Merck KGaA
AI tools
Ian Foster
Argonne National Laboratory
AI tools
Ivan Zhang
Cohere
AI tools
Jacob Woodruff
EMD Electronics
Commercialization
Janine George
Federal Institute for Materials Research and Testing
AI tools
Janne Pakarinen
VTT Technical Research Centre of Finland
Accelerated experimentation
Jolene Reid
University of British Columbia
Chemical reactions
Joseph Sanz
Uncountable
AI tools
Kamal Choudhary
National Institute of Standards and Technology (NIST)
AI tools
Kangming Li
University of Toronto
AI tools
Karin Strauss
Microsoft Research AI4Science
AI tools
Kedar Hippalgaonkar
Nanyang Technological University
Accelerated experimentation
Keith Brown
Boston University
Accelerated experimentation
Kourosh Malek
Forschungszentrum Jülich GmbH
Energy / sustainability
Kristen Bos
University of Toronto
Responsible discovery
Larry Zitnick
Meta AI
AI tools
Linda Hung
Toyota Research Institute
Energy / sustainability
Logan Ward
Argonne National Laboratory
AI tools
Luke Baldwin
US Air Force Research Laboratory
Chemical reactions
Maciej Haranczyk
IMDEA Materials Institute
Energy / sustainability
Mahshid Ahmadi
University of Tennessee, Knoxville
Accelerated experimentation
Marcus Noack
Lawrence Berkeley National Laboratory
AI tools
Maria Politi
University of Washington, Seattle
Robotics
Marko Hermsen
Merck KGaA
AI tools
Marta Skreta
University of Toronto
AI tools
Michelle Murphy
University of Toronto
Responsible discovery
Mohamad Moosavi
University of Toronto
Energy / sustainability
Nathan Frey
Prescient Design, Genentech
Biotech
Oleksandr Voznyy
University of Toronto Scarborough
Electronics
Olexandr Isayev
Carnegie Mellon University
AI tools
Olga Wodo
University at Buffalo
AI tools
Patrick Foley
P2 Science
Energy / sustainability
Philippe Schwaller
École Polytechnique Fédérale de Lausanne
AI tools
Qian Yang
University of Connecticut
AI tools
Rafael Gomez-Bombarelli
Massachusetts Institute of Technology (MIT)
Energy / sustainability
Rhys Goodall
Chemix
AI tools
Robert Black
National Research Council Canada
Energy / sustainability
Santiago Miret
Intel Labs
AI tools
Sonia Sennik
Creative Destruction Lab
Commercialization
Stephen MacKinnon
Recursion Pharmaceuticals
Biotech
Sterling Baird
University of Toronto
Accelerated experimentation
Stuart Miller
Materials Discovery Research Institute
Accelerated experimentation
Suzanne Gildert
Sanctuary AI
Robotics
Syed Ishtiaque Ahmed
University of Toronto
Responsible discovery
Tejs Vegge
Technical University of Denmark
Energy / sustainability
Teodoro Laino
IBM Research
AI tools
Tiago Rodrigues
University of Lisbon
AI tools
Tonio Buonassisi
Massachusetts Institute of Technology (MIT)
Energy / sustainability
Zoë Wool
University of Toronto
Responsible discovery
Mahshid Ahmadi
University of Tennessee, Knoxville
Accelerated experimentation
Syed Ishtiaque Ahmed
University of Toronto
Responsible discovery
Alán Aspuru-Guzik
University of Toronto
Accelerated experimentation
Sterling Baird
University of Toronto
Accelerated experimentation
Luke Baldwin
US Air Force Research Laboratory
Chemical reactions
Robert Black
National Research Council Canada
Energy / sustainability
Daniela Blanco
Sunthetics
AI tools
Kristen Bos
University of Toronto
Responsible discovery
Cosima Boswell-Koller
National Science Foundation
Other
Gerit Brandenburg
Merck KGaA
AI tools
Keith Brown
Boston University
Accelerated experimentation
Tonio Buonassisi
Massachusetts Institute of Technology (MIT)
Energy / sustainability
Kamal Choudhary
National Institute of Standards and Technology (NIST)
AI tools
Andy Cooper
University of Liverpool
Robotics
Fadwa El Mellouhi
Hamad Bin Khalifa University
Chemical reactions
Patrick Foley
P2 Science
Energy / sustainability
Ian Foster
Argonne National Laboratory
AI tools
Nathan Frey
Prescient Design, Genentech
Biotech
Janine George
Federal Institute for Materials Research and Testing
AI tools
Suzanne Gildert
Sanctuary AI
Robotics
Avi Goldfarb
University of Toronto
Commercialization
Rafael Gomez-Bombarelli
Massachusetts Institute of Technology (MIT)
Energy / sustainability
Rhys Goodall
Chemix
AI tools
Maciej Haranczyk
IMDEA Materials Institute
Energy / sustainability
Marko Hermsen
Merck KGaA
AI tools
Kedar Hippalgaonkar
Nanyang Technological University
Accelerated experimentation
Linda Hung
Toyota Research Institute
Energy / sustainability
Olexandr Isayev
Carnegie Mellon University
AI tools
Teodoro Laino
IBM Research
AI tools
Kangming Li
University of Toronto
AI tools
Bowen Li
University of Toronto
Biotech
Stephen MacKinnon
Recursion Pharmaceuticals
Biotech
Kourosh Malek
Forschungszentrum Jülich GmbH
Energy / sustainability
Benji Maruyama
US Air Force Research Laboratory
Robotics
Bryce Meredig
Travertine Labs LLC
AI tools
Stuart Miller
Materials Discovery Research Institute
Accelerated experimentation
Santiago Miret
Intel Labs
AI tools
Mohamad Moosavi
University of Toronto
Energy / sustainability
Dean Mulyk
Thermo Fisher Scientific
Accelerated experimentation
Michelle Murphy
University of Toronto
Responsible discovery
Marcus Noack
Lawrence Berkeley National Laboratory
AI tools
Janne Pakarinen
VTT Technical Research Centre of Finland
Accelerated experimentation
Maria Politi
University of Washington, Seattle
Robotics
Jolene Reid
University of British Columbia
Chemical reactions
Tiago Rodrigues
University of Lisbon
AI tools
Joseph Sanz
Uncountable
AI tools
Philippe Schwaller
École Polytechnique Fédérale de Lausanne
AI tools
Sonia Sennik
Creative Destruction Lab
Commercialization
Chandra Singh
University of Toronto
Energy / sustainability
Marta Skreta
University of Toronto
AI tools
Karin Strauss
Microsoft Research AI4Science
AI tools
Anjuli Szawiola
Natural Resources Canada
Other
Tejs Vegge
Technical University of Denmark
Energy / sustainability
Oleksandr Voznyy
University of Toronto Scarborough
Electronics
Flora Wan
Vector Institute
Ecosystem
Logan Ward
Argonne National Laboratory
AI tools
Andrew White
Future House
AI tools
Olga Wodo
University at Buffalo
AI tools
Jacob Woodruff
EMD Electronics
Commercialization
Zoë Wool
University of Toronto
Responsible discovery
Qian Yang
University of Connecticut
AI tools
Ivan Zhang
Cohere
AI tools
Larry Zitnick
Meta AI
AI tools
Aaike van Vugt
VSParticle
Commercialization
Daniela Blanco
Sunthetics
AI tools
Gerit Brandenburg
Merck KGaA
AI tools
Kamal Choudhary
National Institute of Standards and Technology (NIST)
AI tools
Ian Foster
Argonne National Laboratory
AI tools
Janine George
Federal Institute for Materials Research and Testing
AI tools
Rhys Goodall
Chemix
AI tools
Marko Hermsen
Merck KGaA
AI tools
Olexandr Isayev
Carnegie Mellon University
AI tools
Teodoro Laino
IBM Research
AI tools
Kangming Li
University of Toronto
AI tools
Bryce Meredig
Travertine Labs LLC
AI tools
Santiago Miret
Intel Labs
AI tools
Marcus Noack
Lawrence Berkeley National Laboratory
AI tools
Tiago Rodrigues
University of Lisbon
AI tools
Joseph Sanz
Uncountable
AI tools
Philippe Schwaller
École Polytechnique Fédérale de Lausanne
AI tools
Marta Skreta
University of Toronto
AI tools
Karin Strauss
Microsoft Research AI4Science
AI tools
Logan Ward
Argonne National Laboratory
AI tools
Andrew White
Future House
AI tools
Olga Wodo
University at Buffalo
AI tools
Qian Yang
University of Connecticut
AI tools
Ivan Zhang
Cohere
AI tools
Larry Zitnick
Meta AI
AI tools
Mahshid Ahmadi
University of Tennessee, Knoxville
Accelerated experimentation
Alán Aspuru-Guzik
University of Toronto
Accelerated experimentation
Sterling Baird
University of Toronto
Accelerated experimentation
Keith Brown
Boston University
Accelerated experimentation
Kedar Hippalgaonkar
Nanyang Technological University
Accelerated experimentation
Stuart Miller
Materials Discovery Research Institute
Accelerated experimentation
Dean Mulyk
Thermo Fisher Scientific
Accelerated experimentation
Janne Pakarinen
VTT Technical Research Centre of Finland
Accelerated experimentation
Andy Cooper
University of Liverpool
Robotics
Suzanne Gildert
Sanctuary AI
Robotics
Benji Maruyama
US Air Force Research Laboratory
Robotics
Maria Politi
University of Washington, Seattle
Robotics
Robert Black
National Research Council Canada
Energy / sustainability
Tonio Buonassisi
Massachusetts Institute of Technology (MIT)
Energy / sustainability
Patrick Foley
P2 Science
Energy / sustainability
Rafael Gomez-Bombarelli
Massachusetts Institute of Technology (MIT)
Energy / sustainability
Maciej Haranczyk
IMDEA Materials Institute
Energy / sustainability
Linda Hung
Toyota Research Institute
Energy / sustainability
Kourosh Malek
Forschungszentrum Jülich GmbH
Energy / sustainability
Mohamad Moosavi
University of Toronto
Energy / sustainability
Chandra Singh
University of Toronto
Energy / sustainability
Tejs Vegge
Technical University of Denmark
Energy / sustainability
Luke Baldwin
US Air Force Research Laboratory
Chemical reactions
Fadwa El Mellouhi
Hamad Bin Khalifa University
Chemical reactions
Jolene Reid
University of British Columbia
Chemical reactions
Nathan Frey
Prescient Design, Genentech
Biotech
Bowen Li
University of Toronto
Biotech
Stephen MacKinnon
Recursion Pharmaceuticals
Biotech
Oleksandr Voznyy
University of Toronto Scarborough
Electronics
Syed Ishtiaque Ahmed
University of Toronto
Responsible discovery
Kristen Bos
University of Toronto
Responsible discovery
Michelle Murphy
University of Toronto
Responsible discovery
Zoë Wool
University of Toronto
Responsible discovery
Avi Goldfarb
University of Toronto
Commercialization
Sonia Sennik
Creative Destruction Lab
Commercialization
Jacob Woodruff
EMD Electronics
Commercialization
Aaike van Vugt
VSParticle
Commercialization
Cosima Boswell-Koller
National Science Foundation
Other
Anjuli Szawiola
Natural Resources Canada
Other
03
Participate

Interested in participating? Submit an abstract for a chance to showcase your expertise and connect with a global community of like-minded professionals.

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Application deadline EXTENDED to: June 30, 2023, 5:00pm EST.

04
Policies
Disclosure about our speakers and participants

It is the policy of the University of Toronto to ensure balance, independence, objectivity, and scientific rigour in all its individually accredited or jointly accredited educational programs.
Speakers and/or planning committee members, participating in University of Toronto programs, are expected to disclose to the program audience any real or apparent conflict(s) of interest that may have a direct bearing on the subject matter of the continuing education program. This pertains but is not limited to relationships within the last FIVE (5) years with not-for-profit organizations, pharmaceutical companies, biomedical device manufacturers, or other corporations whose products or services are related to the subject matter of the presentation topic.

The intent of this policy is not to prevent a speaker with a potential conflict of interest from making a presentation. It is merely intended that any potential conflict should be identified openly so that the listeners may form their own judgments about the presentation with the full disclosure of facts.


It remains for the audience to determine whether the speaker’s outside interests may reflect a possible bias in either the exposition or the conclusions presented.