Jason
Bramburger

Assistant Professor
Concordia University







Welcome to Jason Bramburger's homepage! I'm an assistant professor at Concordia University and a member of the CRM Applied Math Lab. My interests broadly lie in dynamical systems with research programs focusing on data-driven discovery, pattern formation, and polynomial optimization applied to differential equations. I received my Ph.D. in 2017 from the University of Ottawa under the supervision of Dr. Benoit Dionne and Dr. Victor LeBlanc. My training includes working as an NSERC postdoctoral fellow at Brown University, a PIMS postdoctoral fellow at the University of Victoria, and an acting instructor at the University of Washington. You can get in contact with me in the following ways:

Email: jason.bramburger@concordia.ca
Work Address:
    LB 901-21
    Concordia University
    Montreal, QC, Canada
YouTube: Jason Bramburger
Twitter: @jbramburger7
GitHub: jbramburger
ResearchGate: Jason Bramburger

Students who are interested in working with me on problems in computational and/or analytical aspects of dynamical systems are encouraged to reach out with a brief description of their interests. Moderate to strong programming skills are an advantage, while a background in differential equations is necessary. Those interested in working as a postdoctoral fellow in my lab are encouraged to apply for a CRM-ISM Fellowship listing me as an advisor.

Upcoming Events:
  • June 3-5: Speaking in the workshop on Advancing Fluid and Soft-Matter Dynamics with Machine Learning and Data Science in Madison, WI.
  • June 24-27: Organizing and speaking in a mini-tutorial about the intersection of nonlinear waves and machine learning at the SIAM Conference on Nonlinear Waves and Coherent Structures.
  • July 22-26: Speaking at ENOC 2024 in Delft, Netherlands.
  • July 28 - August 2: Participating in the Oberwolfach Workshop titled Polynomial Optimization for Nonlinear Dynamics: Theory, Algorithms, and Applications.
  • September 10: Speaking in the McGill CAMBAM-QLS Seminar.

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