COURSE MATERIALS:

• Introduction to Artificial Intelligence (Spring 2024)

• Engineering Mathematics II (University of Notre Dame, Spring 2022)

• Engineering Mathematics (University of Notre Dame, Fall 2023)

• Advanced Topics in Machine Learning (University of Notre Dame, Spring 2021)

• Statistical Computing Methods for Scientists & Engineers (University of Notre Dame, Fall 2020)

• Advanced Topics in Machine Learning (University of Notre Dame, Spring 2020) 

• Engineering Mathematics (University of Notre Dame, Fall 2019)

• Machine Learning (University of Notre Dame, Spring 2019)

•  Statistical Computing Methods for Scientists & Engineers (University of Notre Dame, Fall 2018)

•  Monte Carlo Methods in Scientific Computing (Shanghai Jiao Tong University, Summer School 2018)

•  Probabilistic Graphical Models (University of Notre Dame, Spring 2018)

•  Statistical Computing Methods for Scientists & Engineers (University of Notre Dame, Fall 2017)

•  Bayesian UQ Summer School (Beihang University, Beijing, Summer 2017)

•  Introduction to Dynamics (University of Warwick, Winter 2015)

•  Finite Element Analysis for Mechanical and Aerospace Design (Cornell University, Spring 2014)

•  Foundations of Solid Mechanics (Cornell University, Fall 2013)

•  Bayesian Scientific Computing (Cornell University, Spring 2013)

•  Atomistic Modeling of Materials (Cornell University, Spring 2012)