Postdoc Research Day
About Postdoc Research Day
The PDA hosts an annual research day featuring seminars, presentations, posters, and writing contests. This popular, fun and engaging day creates the opportunity for postdocs to promote collaborations and foster a sense of community.
ABOUT THE 2022 CONFERENCE
As one of the most popular research seminars at SFU, Postdoctoral Research Day offers postdocs the opportunity to showcase their work, promote collaborations, and foster a sense of community.
This year, PDA Research Day will feature a lively panel discussion and inspiring resource talks as well as 10 minute research presentations and poster sessions.
Research Day 2022 will be a hybrid event. While it is encouraged to participate in person, there are opportunities for remote virtual participation and presentations.
Attendees
Watch the talks, explore the exhibits, be part of the community. Come and learn about how SFU Postdocs are changing the world!
All postdocs, research associates, graduate students, faculty and interested members of the community are welcome to join this free event.
Annual Research Days
Congratulations to the 2022 Award Winners
Poster Winners
1st Prize
Muhammad Zohaib Anwar, Faculty of Health Sciences
Using Genetic Diversity of SARS-CoV-2 to evaluate the effectiveness of specific travel measures in mitigating public health risks during the COVID-19 pandemic
2nd Prize
Numaira Obaid, Mechatronic Systems Engineering
Comparing whole cord versus constituent material models in simulations of spinal cord injury (SCI)
Presentation Winners
1st Prize
Andrew Cheng, Department of Linguistics
The Prevalence of Vocal Fry in Mothers Speaking to Infants
2nd Prize
Roger Ashmus, Department of chemistry
Development of biochemical tools for the advancement of diagnosis and therapeutics for lysosomal storage diseases
3rd Prize (tie)
Noha Atef, Faculty of Communication, Art & Technology
Health & Influencers: Doctors Who Vlog
Hansol Park, Department of Mathematics
The Watanabe-Strogatz transform and constant of motion functionals for kinetic vector models
