Selected Coursework

  • Machine Learning (and Machine Learning for Big Data)
  • Numerical Linear Algebra
  • Numerical Solution of Differential Equations
  • Approximation Theory & Spectral Methods
  • Data visualization
  • Numerical Optimization
  • Dynamical Systems
  • Data Analysis
  • Statistics
  • Functional Analysis
  • Partial Differential Equations
  • Nonlinear Partial Differential Equations
  • Finite Volume Methods

Teaching

Instructor:


Quarter Course
Autumn 2018 AMATH 351: Introduction to Differential Equations and Applications
Summer 2017 AMATH 351: Introduction to Differential Equations and Applications
Winter 2017 AMATH 352: Applied Linear Algebra and Numerical Analysis
Summer 2016 AMATH 352: Applied Linear Algebra and Numerical Analysis



Teaching Assistant:


Quarter Course
Spring 2017 AMATH 586: Graduate Numerical Anaylsis of Time Dependent Problems
Fall 2016 AMATH 501: Graduate Vector Calculus and Complex Variables
Spring 2016 MATH 126: Calculus III
Winter 2016 MATH 125: Calculus II
Fall 2015 AMATH 301: Beginning Scientific Computing
Spring 2015 AMATH 301: Beginning Scientific Computing
Winter 2015 MATH 124: Calculus I
Fall 2014 MATH 124: Calculus I

Contact