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News & Events
Recent News
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September 24, 2026
Quantum Innovation in Business -
September 14, 2026
Physics Grad Students win Faculty of Science Private Awards -
August 21, 2026
What is a neutrino telescope and why was one tested in a Vancouver harbour? -
August 06, 2026
Jeff McGuirk wins Award for Excellence in Graduate Supervision -
June 30, 2026
Searching for the next Higgs boson: SFU team drives global effort to boost science experiment at Large Hadron Collider -
June 10, 2026
Precise Measurement of Antihydrogen hyperfine splitting -
May 27, 2026
Barbara Frisken awarded CAP Fellowship -
May 06, 2026
Elegant new ways to measure movement in ecological communities -
April 10, 2026
$2 million endowment takes SFU astrophysics research to galaxies far, far away -
March 13, 2026
Women's History Month -
February 20, 2026
SFU Physics Quantum Group in the News -
February 09, 2026
Black History Month
All Upcoming Events
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Oct 09, 2026 at 1:30PM AQ 3159
: Annabelle Grimes, SFU Physics. Finding a Neutrino Detector in the Deep Ocean: Acoustic Positioning for P-ONE -
Oct 09, 2026 at 1:30PM AQ 3159
: Jack Pitcher, SFU Physics. How the Quantum Internet is Being Built -
Oct 9, 2026 at 2:30PM AQ3159
: Stephanie Simmons, SFU. Distributed Quantum Computing in Silicon -
Oct 16, 2026 at 2:30PM AQ3159
: Max McGinley, UBC. TBA -
Oct 29, 2026 at 12:30PM P8445.2
: Prithviraj Basak, SFU Physics. TBA -
Oct 30, 2026 at 2:30PM AQ3159
: Francisco Villaescusa-Navarro, Simons Foundation. Will the next scientific revolution be driven by AI agents? -
Nov 05, 2026 at 12:30PM P8445.2
: Christoph Ortner, UBC Math. TBA -
Nov 6, 2026 at 2:30PM AQ3159
: John Bechhoefer, SFU. How We Know, Learn, and Do: A Biased Random Walk through Science -
Nov 12, 2026 at 12:30PM P8445.2
: Ido Levin, UBC Chemistry/Math. TBA -
Nov 20, 2026 at 2:30PM AQ3159
: Kyoungchul Kong, University of Kansas. TBA -
Nov 27, 2026 at 2:30PM AQ3159
: Renee Hlozek, University of Toronto. TBA -
Dec 01, 2026 at 9AM P8445.2 Fishbowl and online
: Amin Safaeesirat PhD Candidate, SFU Physics. Inference of biophysical models of transcription from expression data