Courses taught at MIT:
Fall 2021: Statistics, Computation, and Applications (IDS.012 / IDS.131 / 6.419 / 6.439)
Spring 2021: Statistics, Computation, and Applications (IDS.012 / IDS.131 / 6.419 / 6.439)
Fall 2020: Algorithms for Inference (6.438)
Spring 2019: Graphical models: A Geometric, Algebraic, and Combinatorial Perspective (6.244 / IDS.136)
Fall 2018: Statistics, Computation, and Applications (IDS.012 / IDS.131 / 6.419 / 6.439)
Fall 2017: Statistics, Computation, and Applications (IDS.012 / IDS.131 / 6.419 / 6.439)
Spring 2017: Graphical models: A Geometric, Algebraic, and Combinatorial Perspective (6.248 / IDS.S21) New course!
Fall 2016: Statistics, Computation, and Applications (IDS.012 / IDS.131) New course!
Spring 2016: Algebraic Techniques and Semidefinite Optimization (6.256)
MIT professional education course: Data Science: Data to Insights
Courses taught at IST Austria:
Spring 2015: Modeling (core PhD course) New course!
Spring 2015: Convex Optimization (advanced PhD course)
Spring 2014: Applied Statistics (core PhD course)
Spring 2014: Convex Optimization (advanced PhD course) New course!
Spring 2013: Applied Statistics (core PhD course) New course!
Summer schools / short courses / other:
Fall 2021: AI in Pharma (online MIT Sloan Executive MIT Education course)
Fall 2020: GreatLearning.org: Online module on data analysis and visualization
Fall 2019: Minicourse on Probabilistic Graphical Models, Semester on Statistics with Geometry and Topology (Toulouse,
France)
Summer 2018: Summer school on Graphical Models: From Mathematical Foundations to Biological Applications (ETH
Zurich, D-BSSE, Switzerland)
Summer 2013: Summer school on Algebraic Statistics (Sophus Lie Conference Center, Nordfjordeid, Norway)