Lauri Heinonen profile picture
Lauri
Heinonen
Doctoral Candidate, Statistics
Doctoral Researcher, Statistics

Areas of expertise

statistical learning
dimensionality reduction
sparse methods
kernel methods

Biography

I started studying at the University of Turku, Department of Mathematics and Statistics in 2015 and graduated in 2021 with Master of Science in statistics. I have always been interested in both statistics and mathematics and I studied them both equally. My master’s thesis “Ydinmenetelmä riippumattomien komponenttien analyysiin" (Kernel Method for Independent Component Analysis) is about applying the principles of Kernel principal component analysis into Independent component analysis. Since 2022, I have been working on my dissertation where I continue with the themes of kernel methods and dimensionality reduction in addtion to sparse and robust methods.

Teaching

I am especially interested in teaching and student counseling. At the moment, I act as a teacher tutor for the students and as one of the lecturers on Basic course in statistical models and Advanced course in statistical learning. During the year 2023, I took the course Basics in University Pedagogy. Before, I have lectured the courses Basics of Abstract Mathematics and Mathematical Writing. I addition to that, I have organized exercise sessions for many courses.

Research

My current research is about using for example the frameworks of kernel methods and penalization to develop new non-linear robust and sparse methods for dimensionality reduction. I combine both theoretical study and method development, and computational evaluation of methods using simulations.