www.braintank.ca

Resume

Education

Master of Science, Computer Science (Artificial Intelligence) – University of Guelph

September 2024 to April 2026
Working closely with Dr. Neil Bruce.

Bachelor of Computer Science – University of Guelph

Major in Computer Science, Minor in Mathematics, Minor in Statistics
September 2019 to April 2024

Port Credit Secondary School

Work Experience

Undergraduate Researcher / PAIR Labs, Vector Institute, University of Toronto

Reward Augmented Expectations in Decision Making Problems for Long-Horizon Planning
May 2022 – April 2023 (intermittent)

  • Collaborating With PHD Candidate Raeid Saqur and Dr. Animesh Garg, to create an agent to outperform best models on the ALFRED scene navigation task challenge.
  • Designed and optimized expert semantic segmentation strategies to increase task success rate over baseline from 12% to 19%.
  • Experimented with pretraining agents on procedurally generated scenes.

Undergraduate Researcher / University of Guelph

Analysing Siamese Neural Network Architectures for Computing Name Similarity
September 2021 – August 2022 (intermittent)

  • Working with PHD Candidate Jeremy Foxcraft and Dr. Luiza Antonie to measure effectiveness of traditional random forest, and siamese neural networks while measuring surname similarity.
  • Designed a complete pipeline for training, evaluating, and parameter selection for language models (transformers, and LSTMs).
  • The research findings were presented at the International Population of Data Linkage conference in Edinburgh, Scotland in 2022.

Undergraduate Researcher / University of Guelph

Exploring Instance Segmentation for Beef Cuts
September 2022 – Present (intermittent)

  • Conducted an extensive literature review to identify and understand prevailing methods in instance segmentation relevant to beef cuts.
  • Evaluated multiple instance segmentation models to determine their efficacy in the context of beef cut identification.
  • Selected and implemented MASK R-CNN due to its superior accuracy and compatibility with CPU-based environments.
  • Trained the chosen model on a proprietary dataset of beef cuts, refining the model for optimal performance.
  • Currently drafting a research paper detailing the methodologies, findings, and implications of the project.
  • Aiming to submit the completed paper to the Journal of Animal Science for peer review and publication.

Undergraduate Researcher / University of Guelph

USRA: Inquiry into Using Visual Transformers in Sequential Salience
May 2020 – September 2020

  • Awarded CDN $8,500 prize to collaborate with Dr. Neil Bruce to research and refine sequential salience AI algorithms.
  • Proposed, implemented, and trained visual transformer architecture to predict human eyeball saccade movement when exploring images.

Introduction to Public Speaking – University of Washington Course

This course has helped me be more confident and clear in my presentations. It focused on how to structure speeches coherently, write memorably, and present confidently. Course info.

Teaching and Communications Experience

BrainTank Deep Learning (Lecture Series)

  • Developed workshop designed to teach beginner programmers the basics of machine learning to the creation of real deep learning solutions.
  • Creator and curator of curriculum to accelerate education in a collaborative environment. Thirteen students graduated with certification.
  • Was an active peer, assisting to accelerate student’s education in machine learning.
  • Developed presentation material to effectively communicate numerous complex concepts and tasks.

Teacher’s Assistant / University of Guelph

Statistics Learning Center
January 2022 – April 2022

  • Tutoring as a member of the Statistics Learning Centre.
  • In charge of organizing discussion, responding to questions, and developing an engaging space for learning for students in statistics.
  • Practicing effective communication of complex ideas to students with many questions.

Teacher’s Assistant / University of Guelph

MATH*1080: Elements of Calculus I
September 2023 – Current

  • I was given the responsibilities of invigilating labs and exams, grading student assignments, and exams for a Calculus I class.

Python Coding Instructor / PREP 1000 (External Class Preparation Course)
January 2022 – May 2022

  • Created four video lectures and worksheets, introducing the basics of Python coding for an intro-level biology and data science class at the University of Western Ontario.

Certifications

Machine Learning – Stanford Course

Teaches mathematical foundations of key cornerstones of AI including, backpropagation, FNN, CNN, and other bedrock concepts to start the process of working with AI. Course info.

Game Theory – Stanford and UBC Course

Provides students with hands-on and theoretical foundations for the field of game theory. The course covers representing games and strategies, the extensive form, Bayesian games, repeated and stochastic games, and more. Course info.

Game Theory II: Advanced Applications – Stanford and UBC Course

This course continues from where game theory I drops off. It covers more advanced applications of the field. Three main topics are covered: social choice theory (i.e., collective decision making and voting systems), mechanism design, and auctions. Course info.

Introduction to Public Speaking – University of Washington Course

This course has helped me be more confident and clear in my presentations. If focuses on how to structure speeches coherently, write memorably, and present confidently. Course info.

Scholarships & Awards

USRA: Undergraduate Student Research Award

CDN $8,500 research prize awarded, used to student sequential salience with Dr. Neil Bruce.Dean’s List (First, Second, Third and Fourth Years): University of Guelph

Achieved honours grade in every year of undergraduate program.