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# Welcome
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I am a Professor of Computer Science with research interests in artificial intelligence, machine learning, and computational methods. My work focuses on developing novel algorithms and applications that bridge theoretical foundations with practical implementations.
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I am a mathematician working in probability theory and stochastic processes. My recent research interests involve asymptotic analysis of rare events' probabilities, the simplest example being $\{ \exists \, t : X_t > u \}$, where $X$ is a Gaussian process and $u$ is large. This is a subject of my [[unil_thesis.pdf|second PhD thesis]] defended recently at the Université de Lausanne. During my first PhD at St. Petersburg department of V.A. Steklov's Mathematical Institute, I have studied semigroups and generators of Markov processes confined to bounded areas $D \subset \mathbb{R}^d$. This is a subject of my [[pdmi_thesis.pdf|first thesis]] (in Russian).
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# Research
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My research focuses on developing novel algorithms and computational methods that advance the state of artificial intelligence and machine learning. I am particularly interested in the intersection of theoretical foundations and practical applications.
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`todo`
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## Current Research Areas
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### Neural Network Optimization
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Developing efficient training algorithms for large-scale neural networks, with emphasis on:
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- Adaptive learning rate scheduling
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- Gradient compression techniques
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- Distributed training optimization
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- Memory-efficient architectures
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### Sustainable AI
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Investigating methods to reduce the environmental impact of machine learning:
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- Energy-efficient model architectures
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- Carbon-aware training strategies
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- Model compression and pruning
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- Green computing for AI workloads
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### Theoretical Machine Learning
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Advancing our understanding of learning algorithms through:
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