One Semester Courses at Emory University

Spring 2020 (tentative)

• MATH 347: Introduction to Nonlinear Optimization
• CS584 / MATH 789R: Numerical Methods for Deep Learning

Fall 2019

No teaching. You can find me at IPAM for this cool program.

Spring 2019

• MATH 315: Numerical Analysis

Fall 2018

• MATH 347: Introduction to Nonlinear Optimization

• MATH 571: Numerical Optimization

Spring 2018

• CS584 / MATH 789R: Numerical Methods for Deep Learning

Fall 2017

• MATH 315: Numerical Analysis

Fall 2016

• MATH 211: Multivariable Calculus
• MATH 347: Introduction to Nonlinear Optimization

Spring 2016

• MATH 789R: Bayesian Inverse Problems and Uncertainty Quantification

Fall 2015

• MATH 771: Numerical Optimization

Spring 2015

• MATH 516: Numerical Analysis II
• MATH 346: Introduction to Optimization Theory

Fall 2014

• MATH 346: Introduction to Optimization Theory

Workshops and Tutorials

• Numerical Methods for Deep Learning, Summer School at TU Chemnitz, Germany, September 2018.
• Numerical Methods for PDE-Constrained Optimization, Doktorandenkolleg in Weissensee, Austria, September 2016.
• Tutorial on Distributed Optimization for Full Waveform Inversion (FWI) in Julia with Eldad Haber, Platform for Advanced Scientific Computing, Zurich, June 2015.
• Course on Medical Image Registration with Jan Modersitzki und Lars König, Fields Institute, Toronto, July 2012.
• Tutorial on Flexible Algorithms for Image Registration with Jan Modersitzki und Fabian Gigengack, MICCAI, Toronto, September 2011.
• SSBA Summer School on Image Registration with Jan Modersitzki, Linköping University, Sweden, August 2011.