cv

A summary of my CV. The complete file can be downloaded as a pdf.

About

Name Spencer Szabados
Label Graduate Student
Email spencerszabados@gmail.com
Url https://SpencerSzabados.github.io
Summary Graduate student specializing in Applied Mathematics and Computer Science. Passionate about problem solving, with key areas of interest being Computational Mathematics and Statistics, Numerical Analysis, and Machine Learning; specifically, statistically based methods such as Sum Product Networks. Avid reader outside scientific disciplines, in topics relating to Human Decision Making, Finance, and a more casual obsession hard Sci-fi in general.

Interests

Mathematics
Numerical Analysis
Orthogonal polynomial approximations
Graph Theory
Combinatorial Design
Computer Science
Diffusion Models
Probabilistic Circuits
Generative Models

Education

Certificates

Work

  • 2024.08 - Present
    Machine Learning Contractor
    Coastal Carbon
    Design, testing (benchmark design), and implementation of latent diffusion models for remote sensing of multi-spectral satellite data.
    • Latent diffusion models, Satellite imaging
  • 2023.01 - Present
    Teaching Assistant
    University of Waterloo
    Teaching Assistant for CS116 - Introduction to Programming II, CS330 - Management Information Systems, CS335 - Computational Methods in Business and Finance. Responsible for the timely and accurate evaluation of individual works, covering the design and analysis of algorithms and data structures with adherence to established standards.
    • Numerical integration of Stochastic Differential Equations for Finance.
  • 2022.01 - 2022.06
    Teaching Assistant
    University of Manitoba
    Teaching Assistant for CS3170 - Advanced Algorithms and Data Structures. Responsible for the timely and accurate evaluation of individual works, covering the design and analysis of algorithms and data structures with adherence to established standards.
    • Amortized analysis, Fibonacci heaps, Randomized data structures and Expected running time analysis, Skip lists etc...

Volunteer

  • 2024.05 - 2023.08
    Directed Reading Program Mentor
    University of Waterloo
    The woman in mathematics directed reading program (DRP) is an initiative that aims to provide an opportunity for undergraduate students (mentees), who identify as women or underrepresented gender identities, to work with graduate students on a mathematical project. During this time I mentored two undergraduates on machine learning methods (latent space models) and measures of statistical depth (and combinatorial data depth) for out-of-distribution diction methods.
  • 2022.06 - 2023.01
    Lab Organizer
    University of Manitoba: GADA Lab
    Organizer for the Geometry Algorithms and Distributed Algorithms open problem solving sessions. These meetings were a platform for new students and other members of the lab to collaborate on open problems in the fields of Computational Geometry, Graph Algorithms, Distributed Algorithms, etc...

Awards

  • 2023.06
    Vector Institute Research Bursary
    Vector Institute, Canada
    Awarded to full-time graduate studies at a Canadian educational institution during the Fall 2022 and/or Winter 2023 semesters in good academic standing and are supervised by a Vector Faculty Member. ($2000)
  • 2023.01
    University of Waterloo Graduate Scholarship
    University of Waterloo, Canada
    Awarded to graduate students registered full time in a Master's program with a minimum first-class (80%) cumulative average in their current program or over the last two full-time academic years. ($10,000)
  • 2022.01
    Faculty of Science Undergraduate Research Award
    University of Manitoba, Canada, Stephane Durocher.
    Awarded to undergraduate students to fund their research while working under the supervision of individual professors. This was awarded to me twice working under Stephane Durocher. ($10,000)
  • 2021.10
    Philosophia Mathematica Prize in Applied Mathematics.
    University of Manitoba, Canada
    Awarded to best applied mathematics student in either second or third year. ($3850)

Publications

Skills

Mathematics
Numerical Approximation
Information Theory
Probabilistic Modeling
Random Sampling Methods
ODE/PDE and SDE Theory
Computer Science
C Programming (comfortable)
Python Programming (experienced)

Languages

English
Native speaker
French
Conversational