Patrick Robinson Email & Phone Number

Toronto, Ontario, Canada

Data Science Tech Lead in the Claims family, providing technical leadership & oversight, governance initiatives, and technical research.

Toronto

Data scientist involved in research and development of petrochemical, mathematical, and machinelearning models. Technical lead on multiple client consulting data science projects. Foundational team member for the real-time machine learning petrochemical plant digital twin model.Continued the development of a Bayesian framework for diagnosing errors in large petrochemicalplants. Strong collaboration with the Client Services department on large projects, including providing analysis and internal tools. Part of the team-wide effort to continue converting ad hoc data science solutions into product-ready code

Instructor for IFP014 - Engineering Foundations in Mathematics. Created course curriculum for the winter term of the course, conducted weekly lecture sessions, constructed and graded problem sets and tests.

Toronto, Canada Area

Solo content creator for the part-time data science course, including curriculum design, programming, and Jupyter Notebook construction with feedback from the product management team, and the Vancouver lead educator and Toronto teaching assistants. After course design was complete, I was Lead Educator for the course in Toronto. Curriculum included intro to Python with Pandas and NumPy, data cleaning and visualizing, review of statistics and linear algebra, numerical modelling, classification, model validation, and an overview of further topics in the field (cost functions, optimization methods including gradient descent and differential evolution, random forests, and an introduction to (MLP) neural networks using the MNIST data set as a motivating example).

Toronto, Canada Area

Provided model validation of medium-frequency futures trading strategies to determine viability using a Python backtester. Developed Python scripts to handle data processing, cleaning, and visualization. Managed live trade algorithms with X_Trader’s ADL language. Developed and maintained the execution side of a trading system, linking ADL algorithms in X_Trader with a proprietary forecasting system, using Excel VBA as an intermediary.

St George & Scarborough Campuses

Teaching assistant or course instructor for various undergraduate math courses, including linear algebra, calculus, concepts in abstract math, and group theory. Prepared lectures/tutorials, graded assignments, provided office hours for consultation, and created course curriculum (for the group theory course).

Doctoral research on "The Classification of Dirac Homogeneous Spaces".

NSERC Undergraduate Summer Research Award holder: • Directed research under Dr Neil Barnaby in light-like tachyon condensation in models for early universe string-driven inflation. • Co-authored paper published in the Journal of High Energy Physics (arXiv:0811.0608).

Doctor Of Philosophy (Phd), Mathematics

Activities and Societies: Graduate student financial math reading group. Symplectic seminar. Thesis: "Classification of Dirac Homogeneous.

Master Of Science (Ms), Mathematics

Honours Bachelor Of Science, Mathematics And Physics

Activities and Societies: Physics and Astronomy Student Union (VP Academic), CUPC Organizing Committee, Physics Undergraduate Curriculum.