Piotr Zwiernik >

Teaching and mentoring


Some lecture notes:

  • Real Analysis. These are notes I used for the course "Mathematics for Economics and Finance".
  • Topics in Statistics Theory. These are notes I use for the course "Advanced Theory of Statistics II" (PhD level course).


Teaching 2024/2025:

  • (STA437/2005) Methods for Multivariate Data
  • (STA3000) Advanced Theory of Statistics (winter semester)


Current graduate students:

  • Paul Rognon (started 2021, joint supervision with David Rossell)
  • Ichiro Hashimoto (started 2022, joint supervision with Stanislav Volgushev)
  • Arian Hashemzadeh (started 2023, joint supervision with Elena Tuzhilina)


Master students:



Undergraduate students:

Postdoctoral Fellows:

  • 2023-2024 Yaoming Zhen (with Qiang Sun)
  • 2019-2021 Jack Jewson (with David Rossell), current position: Monash University
  • 2019-2020 Nanwei Wang (with David Rossell), current position: University of New Brunswick


Short courses:

  • Graphical models and convex geometry (Jul 2022), The summer school Computation and Modelling, Wrocław University of Technology, Wrocław, Poland.
  • Total positivity and graphical models (Dec 2019), XLV Conference "Statystyka Matematyczna", Będlewo, Poland.
  • Total positivity and graphical models (Dec 2019), XLV Conference "Statystyka Matematyczna", Będlewo, Poland.
  • Latent tree graphical models (May 2018), 38th Finnish Summer School on Probability and Statistics, Lammi, Finland.
  • Latent tree models (July 2017), Research Program on Algebraic and Combinatorial Phylogenetics, Barcelona, Spain.
  • Semialgebraic statistics and latent tree models (July 2016), Summer School on Algebra, Statistics and Combinatorics, Aalto University, Helsinki, Finland.
  • Latent tree graphical models (June 2015), Algebraic Statistics conference, University of Genoa, Italy.
  • Latent tree graphical models (April 2015), Big Data Program, Fields Institute, Toronto, Canada.
  • Nonlinear time series modeling (February 2007), National Bank of Poland, Warsaw, Poland.


Past teaching:

University of Toronto

  • 2023/24 (STA3000) Advanced Theory of Statistics (winter semester)
  • 2023/24 (STA414/2104) Statistical Methods for Machine Learning II
  • 2023/24 (MAT497) Research project in mathematics (Tensors: Theory and Learning)
  • 2023/24 (MAT497) Research project in mathematics (Convex optimization in statistics)
  • 2022/23 (STA414/2104) Statistical Methods for Machine Learning II
  • 2022/23 (STA3000) Advanced Theory of Statistics (winter semester)
  • 2022/23 (MAT497) Research project in mathematics (Convex optimization in statistics)
  • 2022/23 (STA496/STA497) Reading course in statistics (Latent tree models)
  • 2021/22 (STA3000) Advanced Theory of Statistics (winter semester)
  • 2021/22 (MAT497) Research project in mathematics (Convex optimization in statistics)

Universitat Pompeu Fabra, Barcelona

  • 2020/21 MSc Economics Brush-up course: Advanced Mathematics
  • 2020/21 (31559) Mathematics for Economics and Finance
  • 2020/21 (14D002) Deterministic Models and Optimization (with Marc Noy)
  • 2020/21 (32364) Advanced Techniques in Applied Economics: Graphical Models and Positive Dependence
  • 2019/20 MSc Economics Brush-up course: Advanced Mathematics
  • 2019/20 Mathematics for Economics and Finance
  • 2019/20 Deterministic Models and Optimization (with Marc Noy)
  • 2019/20 Advanced Techniques in Applied Economics: Graphical Models and Positive Dependence
  • 2018/19 MSc Economics Brush-up course: Advanced Mathematics
  • 2018/19 MSc Data Science Brush-up course: Introduction to Mathematics
  • 2018/19 (31559) Mathematics for Economics and Finance
  • 2018/19 (14D002) Deterministic Models and Optimization (with Marc Noy)
  • 2017/18 MSc Data Science Brush-up course: Introduction to Mathematics
  • 2017/18 (21123) Mathematics I
  • 2017/18 (31559) Mathematics for Economics and Finance
  • 2017/18 (14D002) Deterministic Models and Optimization (with Marc Noy)
  • 2016/2017 (21127) Mathematics III
  • 2016/17 (14D002) Deterministic Models and Optimization (with Marc Noy)
  • 2016/17 (21123) Mathematics I
  • 2016/17 (31559) Mathematics for Economics and Finance
  • 2016/17 Data Science Brush-up course: Introduction to Mathematics
  • 2015/16 (21127) Mathematics III
  • 2015/16 (21894) Real Analysis

University of Warwick

  • 2009 Mathematical Statistics A
  • 2009 Mathematical Statistics B
  • 2008 Mathematical Statistics B
  • 2008 Mathematics of Random Events
  • 2007 Probability

University of Warsaw

  • 2006 Statystyka matematyczna II