Lauren Hayward

Photo of woman smiling in a large atrium with colourful art in the background
Associate Director, Training Programs (ON LEAVE)
Perimeter Institute for Theoretical Physics
Teaching Faculty
Academic Staff
Training, Educational Outreach and Scientific Programs
Areas of research:
Quantum Matter
(519) 569-7600 x6645
Perimeter Institute is committed to diversity within its community and welcomes applications from underrepresented groups. If you are interested in pursuing a MSc degree, please apply to the Perimeter Scholars International (PSI) masters program. If you are interested in working with me, please send me an email at [email protected].
  • Teaching Faculty, Perimeter Institute for Theoretical Physics, 2022-present
  • Quantum Science Lecturer & Outreach Scientist, Perimeter Institute for Theoretical Physics, 2021-2022
  • Adjunct Assistant Professor, Physics and Astronomy, University of Waterloo, 2018-present
  • PSI Fellow, Perimeter Institute for Theoretical Physics, 2017-2021
  • Resident PhD Student, Perimeter Institute for Theoretical Physics, 2015-2017
  • PSI Scholar, Perimeter Institute for Theoretical Physics, 2011-2012
  • Career Panel, Women in Physics Canada Conference at the University of Manitoba, University of Manitoba, Winnipeg, Canada, 2023/07/07
  • Machine Learning Lecture - 230323, Machine Learning for Many-Body Physics (2022/2023), 2023/03/23, PIRSA:23030035
  • Machine Learning Lecture - 230321, Machine Learning for Many-Body Physics (2022/2023), 2023/03/21, PIRSA:23030034
  • Machine Learning Lecture - 230320, Machine Learning for Many-Body Physics (2022/2023), 2023/03/20, PIRSA:23030040
  • Machine Learning Lecture - 230314, Machine Learning for Many-Body Physics (2022/2023), 2023/03/14, PIRSA:23030032
  • Machine Learning Lecture - 230309, Machine Learning for Many-Body Physics (2022/2023), 2023/03/09, PIRSA:23030031
  • Machine Learning Lecture - 230307, Machine Learning for Many-Body Physics (2022/2023), 2023/03/07, PIRSA:23030030
  • Machine Learning Lecture - 230306, Machine Learning for Many-Body Physics (2022/2023), 2023/03/06, PIRSA:23030038
  • Machine Learning Lecture - 230302, Machine Learning for Many-Body Physics (2022/2023), 2023/03/02, PIRSA:23030029
  • Machine Learning Lecture - 230228, Machine Learning for Many-Body Physics (2022/2023), 2023/02/28, PIRSA:23020018
  • Machine Learning Lecture - 230228 pt 2, Machine Learning for Many-Body Physics (2022/2023), 2023/02/28, PIRSA:23030033
  • Theoretical Physics for Today and Tomorrow, University of Toronto School of Continuing Studies University Lecture Series, Oakville, Ontario, 2022/11/07
  • Panel Session: 'Forest vs Trees', The Day of Discovery, 2022/10/20, PIRSA:22100073
  • Courage Under Fire: Dr. Timnit Gebru’s journey from Google to founding the Distributed AI Research (DAIR) Institute, NSERC Chairs for Women in Science & Engineering – Science for Humanity Workshop Series, 2022/10/06
  • Machine Learning (2021/2022), Machine Learning (2021/2022), 2022/05/02, PIRSA:22050009
  • Machine Learning (2021/2022), Machine Learning (2021/2022), 2022/04/25, PIRSA:22040073
  • Machine Learning (2021/2022), Machine Learning (2021/2022), 2022/04/21, PIRSA:22040072
  • Machine Learning (2021/2022), Machine Learning (2021/2022), 2022/04/19, PIRSA:22040071
  • Machine Learning (2021/2022), Machine Learning (2021/2022), 2022/04/18, PIRSA:22040070
  • Machine Learning (2021/2022), Machine Learning (2021/2022), 2022/04/14, PIRSA:22040069
  • Machine Learning (2021/2022), Machine Learning (2021/2022), 2022/04/12, PIRSA:22040068
  • Machine Learning (2021/2022), Machine Learning (2021/2022), 2022/04/11, PIRSA:22040067
  • Machine Learning (2021/2022), Machine Learning (2021/2022), 2022/04/07, PIRSA:22040066
  • Machine Learning (2021/2022), Machine Learning (2021/2022), 2022/04/04, PIRSA:22040064