My research interests are brain-inspired computing, quantum computing, and non-von Neumann architectures. The story began in May 2012, at the conference in Crimea, Ukraine where I attended a brilliant talk by Prof. Laurent Larger. I was already familiar with artificial neural networks, and the talk had further ignited my interest. I learned that those structures can be implemented with the help of a laser or even a bucket of water. That was my first encounter with reservoir computing. Eventually, I pursued my PhD entitled “Theory and Modeling of Complex Nonlinear Delay Dynamics Applied to Neuromorphic Computing” tackling challenges related to this fascinating subject.
In my spare time, I enjoy playing music, building things, or painting.
Quantum computing and QML
Between 2021 and 2024, I delivered several lectures, workshops, and training sessions on various aspects of AI and Machine Learning.
In Fall 2024 and 2025 I have given a 12h course “Advanced Deep Learning for Chemistry” at European School of Chemistry, Polymers and Materials, University of Strasbourg. Here is the syllabus.
I also wrote a few articles on neural networks from the first principles.
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