Lectures
Statistical Computation and Visualization
- core course for Masters in Statistics at EPFL
- full semester course, designated for the 1st semester of the MSc
program
- the coursebook
entry is slightly outdated, I have developed a new course from
scratch
- all the materials are publicly available in this repo
Applied Statistics
- core course for Masters in Statistics at EPFL
- full semester course, designated for the 2nd semester of the MSc
program
- the coursebook
entry is slightly outdated, I am developing a new course from
scratch
- all the materials are publicly available in this repo
Mentoring
Below is a list of projects I have supervised at EPFL. A semester
project (either Bachelor or Master) is worth 10 credits, while the
Master project is worth 30 credits.
- Covariance Estimation for Matrix-variate Data, Master semester
project, 2023
- Classification of Brain Voxels from Dynamic Contrast-Enhanced MRI,
Master’s thesis, 2022
- Clustering Functional Data to Localize Damaged Tissue in MRI, Master
semester project, 2022
- Forecasting Functional Time Series, Master semester project, 2021,
jointly with Prof. V. Panaretos & L. Santoro
- Functional Principal Component Analysis with Application to COVID-19
Dynamics, Bachelor semester project, 2021, jointly with Prof. V.
Panaretos & L. Santoro
- Introduction to Non-parametric Density Estimation, Bachelor semester
project, 2020, informally with Prof. V. Panaretos
- Modelling of Selective Nerve Stimulation for Prostheses with Sensory
Feedback Using Machine Learning Methods, Master semester project, 2019,
with Prof. F. Eisenbrandt & Dr. I. Malinovic
- Matrix-variate Normal Distribution, Bachelor semester project, 2019,
with Prof. V. Panaretos
Exercises
Here is a list of semester-long courses that I have taught or TAed in
the past. Being a teaching assistant (TA) at EPFL means answering
questions of the students during the exercise classes and grading the
homeworks and exams. I was always a “principal TA”, which in addition
comprises administrating the course webpage (or the Moodle page and
forums) and preparation of the exams. At the other universities, my work
additionally consisted of independent in-classroom teaching of the
regular exercise classes. I consider myself adept in teaching various
regression methods and time series analysis, as well as introductory
probability and statistical inference classes for both bachelor and
master students of various backgrounds, inclcuding mathematicians,
computer scientists, economists and engineers.
- Linear Models, EPFL (2022,2021,2020,219)
- Statistique pour Mathematiciens, EPFL (2020)
- Time Series, EPFL (2019,2018)
- Statistics for Data Science, EPFL (2018)
- Time Series Analysis, Technical University of Munich (TUM,
2017)
- Probability and Mathematical Statistics, Charles University
(2015)
- Statistics, Institute of Economic Studies (2015)
- Mathematics 1A, Czech Technical University (2015)