Head of the Group

Yet another physicist turned to neuroscientist. After 7 years at the Max-Planck Institute for Brain Research, where I tried to learn some biology, I moved to Tartu to learn the other side of the story – the computational perspective.
Researchers and PhD students

I did my PhD thesis in the Max Planck Institute for Brain Research in 2014. I have worked with mice, men and machines. I am on a quest to find the master algorithm(s) of the brain and to implement them in machines.

After completing my MSc thesis ” Deep reinforcement learning for perspective taking task”, I am now continuing the same line of research – theory of mind in AI – as a PhD student.

My interests wobble around Deep Learning and Machine Learning, Neuroscience and Brain-Computer Interfaces. These topics have known and unknown intersection points and my task is to study the known ones and look for the unknown ones.
After obtaining an engineering diploma and a MSc degree in France, I returned to Estonia to study brain. Since then my interests have shifted towards deep reinforcement learning and towards applying neural networks to make sense of biological data.

I’m interested in multi-modal artificial neural networks, that tie together vision, language and sound. I’m also interested in bringing deep learning to practice, for example making the decisions of neural networks understandable.

After completing my psychology MSc thesis on the topic of Change Blindness in virtual reality I have infiltrated the group as a computer science PhD student, spending most of my time in the computer graphics and virtual reality lab. There I study the predictive coding brain theory.

I graduated in physics and did a master in physics of complex systems. Now after being fooled by the AI hype I’m a computer science PhD student. Currently I’m applying deep learning to biological data.

With a BSc and MSc on compute science, my PhD is at the crossroad of reinforcement learning and causality, and aims to develop explainable agents with complex human-like behaviors.
ALUMNI
Graduated PhD students

Kristjan’s thesis “Analyzing EEG Data and Improving Data Partitioning for Machine Learning Algorithms” was completed in 2017. Since then he has moved to industry, currently holding the position of Head of Data in Starship Technologies.
Graduated MSc and BSc students
- Kristjan Julius Laak, MSc, Currently at eAgronom.
- Lauri Tammeveski, MSc, Currently at Milrem.
- Taivo Pungas, BSc, Currently at Veriff.
- Martin Loginov, MSc, Currently at .
- Kristjan Jansons, MSc, Currently at Milrem.
- Reigo Hendrikson, MSc, Currently at Eesti Energia.
- Zurab Bzhalava, MSc, Currently PhD student at Karolinska Institute.