Helped lecture courses using MPI and GPUs to accelerate machine learning models and numerical simulations. Furthermore, helped supervise research projects at the Ph.D., Masters, and undergraduate levels.
Courses Lectured and Supervised
High-Performance Computing for Mathematicians (Ph.D. Level)
Courses Supervised
Research Skills for Computational Applied Mathematics (Master Level)
Statistical Computing (Undergraduate Level)
Helped lecture and ran example classes for
Courses Lectured and Supervised
Natural Sciences Tripos: IB Mathematical Methods I
Part III: Spectral Computations in Infinite Dimensions
Helped create material and supervised Master's-level courses in Statistics, Data Mining, and Applied Mathematics.
Worked closely with lecturers to hire new tutors, help create the teaching material, and hold student Q&A sessions.
Classes include:
QBUS6600: Data Analytics for Business Capstone
QBUS6810: Statistical Learning and Data Mining
QBUS6830: Financial Time Series and Forecasting
MATH1002: Linear Algebra
MATH1023: Multivariable Calculus and Modelling
MATH1011: Applications of Calculus
MATH1013: Mathematical Modelling