Courses I have taught at Temple University

  • Stat 9190, Analysis of causal mechanisms in Tech and Finance (Spring 2021)
  • Stat 9190, Introduction to Machine Learning and AI (Spring 2020)
  • Stat 3503/8109, Applied Statistics and Data Science (Fall 2018, 2020)
  • Stat 9190, Design and Analysis of Experiments at Scale (Spring 2019)

Courses I have taught at Harvard University

  • Stat 111, Introduction to Theoretical Statistics (Spring 2010, 2011, 2012, 2013)
  • Stat 120, Introduction to Applied Bayesian Inference and Multilevel Models (Fall 2014, 2016)
  • Stat 221, Statistical Computing and Learning (Fall 2009, 2010, 2013, 2014, 2016)
  • Stat 230, Multivariate Statistical Analysis (Spring 2009)
  • Stat 285, Statistical Machine Learning (Spring 2010, 2011, 2013)
  • Stat 303, Teaching Seminar (Spring 2012)
  • Stat 366, Introduction to Research (Fall 2014, 2016; Spring 2015, 2017)
  • Stat 385, Statistical Machine Learning Seminar (Spring 2009, 2015)
  • Stat 388, Design and Analysis of Experiments at Scale (Spring 2017)

Mini-courses and Tutorials

  • Statistical methods for populations with interaction and interfering units. Tutorial at the Institute for Mathematics and its Applications, Minneapolis, MN (2011)
  • Statistical elements of complex networks. Mini-course at the Social Networks Summer School, Whistler, Canada (2010)
  • Statistical elements of complex networks. Mini-course at the New England Statistics Symposium, Cambridge, MA (2010, with J Blitzstein)