CV

A short PDF version of my CV is linked above. For awards that were received multiple times, I only listed the most recent time it was received and indicated how many times it was received in the title.

Basics

Name Justin Lawrence
Email justin11002@gmail.com
Url https://justinlaw-d.github.io
Summary Mathematics Master's student working in Vancouver BC.

Work

  • 2023.05 - 2023.08
    Research Assistant
    UBC Mathematics
    Worked with Dr. Ben Williams on characterizing the representations of knot groups in complex special linear groups.
    • Determined the actions of knot symmetries on the corresponding knot groups and their representations.
  • 2022.05 - 2023.01
    Research Assistant
    UBC Physics and Astronomy
    Worked with Dr. Aaron Boley on modeling satellite collisions and resulting debris cascades in the low Earth orbit environment.
    • Created and implemented multiple atmospheric debris models, all based on a JASON-created model, using Python/Numpy.
  • 2021.05 - 2023.08
    Research Assistant
    UBC Physics and Astronomy
    Worked with Dr. Scott Oser as part of the SuperCDMS collaboration to project detector responses to dark matter signals using an alternative dark matter halo model.
    • Projected sensitivity of future detectors and re-analyzed past runs using alternative model.
  • 2020.09 - 2021.04
    Teaching Assistant
    UBC Science
    Served as a physics and mathematics TA for Science One, an enriched first year program at UBC. My role focused entirely on teaching, both in tutorials and office hours.
    • Co-wrote a 70-page package for the thermodynamics unit of the physics part of the course (see projects for more details).

Education

  • 2024.09 - Present

    Vancouver, Canada

    MSc.
    University of British Columbia
    Pure Mathematics
    • Thesis work on a TBD topic in algebra under Dr. Rachel Ollivier and Dr. Sabin Cautis.
  • 2019.09 - 2024.05

    Vancouver, Canada

    BSc.
    University of British Columbia
    Honours in Mathematics, Minor in Physics
    • Overall Average 93.7/100, Graduated with distinction.

Awards

Skills

Programming Languages/Tools
C/C++
Java
Python
Sage
MATLAB
Matplotlib/Scipy/Numpy
Linux (Debian/CentOS)
Basic Knowledge of x86 Assembly
Statistical/Experimental
Experience building and collecting data from experimental apparatus
Knowledge of data analysis using various statistical tests

Languages

English
Native speaker
French
Conversational Level

Interests

Mathematics
Algebra
Algebraic Geometry
Topology
Number Theory
Category Theory
Logic
Teaching
Other
Low-level Computer Programming
Quantum Mechanics
Board Games
Ancient History
DnD