Patrick Robinson

 Patrick Robinson

Patrick Robinson

  • Courses1
  • Reviews1

Biography

University of Toronto St. George Campus - Mathematics


Resume

  • 2010

    Doctor of Philosophy (PhD)

    Thesis: \"Classification of Dirac Homogeneous Spaces\"\nResearch Area / Keywords: Differential & Poisson geometry

    Lie Group theory

    Courant Algebroids

    Groupoids

    Mathematics

    Graduate student financial math reading group.\nSymplectic seminar.

    University of Toronto

    Hydrogen Sulphide Safety Training - H2S Alive!

    Enform

  • 2009

    Master of Science (MS)

    Mathematics

    University of Toronto

  • 2003

    Honours Bachelor of Science

    Mathematics and Physics

    Physics and Astronomy Student Union (VP Academic)

    CUPC Organizing Committee

    Physics Undergraduate Curriculum Committee

    University of Toronto

  • [1411.2958] The Classification of Dirac Homogeneous Spaces

    PhD Thesis

    Abstract: A well known result of Drinfeld classifies Poisson Lie groups $(H

    \\Pi)$ in terms of Lie algebraic data in the form of Manin triples $(\\mathfrak{d}

    \\mathfrak{g}

    \\mathfrak{h})$; he also classified compatible Poisson structures on $H$-homogeneous spaces $H/K$ in terms of Lagrangian subalgebras $\\mathfrak{l}\\subset\\mathfrak{d}$ with $\\mathfrak{l}\\cap\\mathfrak{h}=\\mathfrak{k}=\\mathrm{Lie}(K)$.

    [0811.0608] Dynamics and Stability of Light-Like Tachyon Condensation

    Abstract: Recently

    Hellerman and Schnabl considered the dynamics of unstable D-branes in the background of a linear dilaton. Remarkably

    they were able to construct light-like tachyon solutions which interpolate smoothly between the perturbative and nonperturbative vacua

    without undergoing the wild oscillations that plague time-like solutions.

    University Teaching

    Public Speaking

    Analytical Thinking

    Data Analysis

    Research

    Mathematical Modeling

    LaTeX

    Mathematics

    Pandas

    Time Series Analysis

    Science

    Algorithms

    Python

    Teaching

    Statistics

    Physics

    Problem Solving

    Analytical Skills

    Curriculum Design

    Maple

    Dynamics and Stability of Light-Like Tachyon Condensation

    Neil Barnaby

    Examining late-time stability for p-adic string driven inflation with non-trivial ghost modes.

    Dynamics and Stability of Light-Like Tachyon Condensation

    Robinson

    BrainStation

    University of Toronto

    Indigo

    Canadian Institute for Theoretical Astrophysics

    Validere

    Electronica AI

    University of Toronto

    Course Instructor for MAT135 - Calculus 1(A):\n• Conduct weekly lecture sessions.\n• Hold weekly office hours and individual appointments to assist students.\n• Assist with the construction and invigilation of examinations.\n• Responsible for marking questions on the final examination for all students

    together with the other instructors.

    University of Toronto

    Course Coordinator / Instructor

    Coordinated MAT301 - Groups and Symmetries during the summer session: \n• Created course curriculum.\n• Conducted weekly lecture sessions.\n• Constructed problem sets and examinations.\n• Created lecture notes in LaTeX

    published to the course website.\n• Held weekly office hours and individual appointments to assist students.

    University of Toronto

    Doctoral Researcher

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

    University of Toronto

    Electronica AI

    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.

    Quantitative Developer / Data Scientist

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

    Canadian Institute for Theoretical Astrophysics

    Validere

    Toronto

    Data Scientist

    Scarborough

    Ontario

    • Duties included shelving and merchandising books

    assisting customers

    pulling book returns

    cycle counting (ongoing inventory assessments).\n• Helped to organise

    and participated in

    store-wide events such as the Harry Potter releases.\n• Volunteer member of the Health & Safety Committee: performed regular store safety inspections

    organised and attended monthly meetings.

    Customer Experience Representative

    Indigo

    St George & Scarborough Campuses

    • Run weekly tutorials.\n• Mark assignments and tests.\n• Provide one-on-one help in the math aid centre.\n• Hold regular office hours for further assistance.

    Graduate Teaching Assistant

    University of Toronto

    Toronto

    Solo content creator for the fall data science course

    including curriculum design

    programming

    and Jupyter Notebook construction. I work closely with the product management team to design and update curriculum

    with feedback from the Vancouver lead educator and Toronto teaching assistants.

    Content Creator

    BrainStation

    Toronto

    Canada Area

    Lead educator for the data science course. Curriculum includes introduction to Python with Pandas and NumPy

    data cleaning and visualizing (matplotlib and Bokeh)

    review of statistics and linear algebra

    numerical modelling (linear & multiple linear regression

    polynomial regression

    spline interpolation

    and issues with overfitting)

    classification (logistic regression

    decision trees

    naive Bayes)

    model validation (statistical hypothesis testing

    p-values

    distributions and test statistics

    training/test sets

    cross-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).

    Lead Educator - Data Science

    BrainStation

    Instructor for IFP014 - Engineering Foundations in Mathematics. Created course curriculum for second half of the course

    conducted weekly lecture sessions

    constructed and graded problem sets and tests.

    University of Toronto

    Victoria College

    Clara Flavelle McEachren Scholarship

    NSERC Undergraduate Summer Research Award

    University of Toronto Scholarship

    Blyth Fellowship

    Malcolm Slingsby Robertson Fellowship in Mathematics

MAT 13

4.5(1)