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!

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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)

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