Mark R. Thomas

Mark R. Thomas

4th-year CS Honors Undergraduate

University of Alberta


BSc Honors in Computing Science
GPA: 3.5/4.0,    Major GPA: 3.7/4.0


Canadian Institute for Advanced Research (CIFAR)
Program Reporter
July 2022 – August 2022 Toronto, ON (Remote)
  • Selected by CIFAR to author an internal report for program directors while attending the 2022 Deep Learning + Reinforcement Learning (DLRL) Summer School
Vector Institute
Research Intern
May 2022 – July 2022 Toronto, ON (Remote)
  • Researched trustworthy/collaborative machine learning methods
  • Performed a literature review on Byzantine‐robust aggregation methods
  • Implemented an experimental pipeline using PyTorch to train deep neural networks
  • Analyzed experimental results and prepared figures using pandas and Seaborn
  • Supervised by Prof. Nicolas Papernot (University of Toronto)
Software Engineer Intern
August 2021 – May 2021 Redmond, WA (Remote)
  • Led the redesign and implementation of C#/.NET APIs used by MS SharePoint’s search service
  • Planned testing, validation, and monitoring strategies for APIs supporting >200 million monthly average users
University of Waterloo
Undergraduate Research Fellow
April 2021 – January 2021 Waterloo, ON (Remote)
  • Researched security/privacy in machine learning (attacks in federated learning)
  • Developed federated machine learning prototypes using Python and TensorFlow Federated
  • Documented and evaluated experimental results using Matplotlib and NumPy
  • Supervised by Prof. Florian Kerschbaum (University of Waterloo)


2022 DLRL Summer School Attendee
Invited as an undergraduate by CIFAR.
Aboriginal Student Award for Outstanding Academic Achievement
Awarded to the Indigenous undergraduate with the highest academic standing at the University of Alberta.

(1 awarded)
Google CS Research Mentorship Program Scholar
Accepted into a three‐month program and mentored by a Google Research employee. Worked with students from historically marginalized groups to pursue computer science research goals.
Undergraduate Research Fellowship
Awarded for work in security and privacy in machine learning.