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vault/.obsidian/workspace.json

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"state": {
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"type": "markdown",
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"state": {
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"file": "_pages/index.md",
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"file": "_temp/2020-professor-university.md",
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"mode": "source",
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"source": false
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},
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"icon": "lucide-file",
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"title": "index"
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"title": "2020-professor-university"
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}
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}
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]
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},
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"_pages/cv.md",
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"_education/2021-phd-probability-and-statistics.md",
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"_education/2024-phd-actuarial-science.md",
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"_pages/index.md",
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"_pages/contact.md",
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"_pages/index.md",
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"_temp/talks.md",
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"_temp/contact 1.md",
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"_temp/2024-neural-networks-optimization.md",
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"_temp/2024-keynote-ai-conference.md",
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"_temp/2020-professor-university.md",
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"_temp/2018-phd-computer-science.md",
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"_pages/talks.md",
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"_temp",
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---
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degree: Ph.D.
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field: Probability and Statistics
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institution: PDMI RAS
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location: Saint Petersburg, Russia
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graduation_year: 2021
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thesis_title: An operator approach to constructing complex and reflecting stochastic processes
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advisor: Prof. Natalia Smorodina
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committee:
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gpa:
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honors:
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relevant_coursework: []
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---
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# Ph.D. in Probability and Statistics
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## Thesis/Dissertation
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**Title:** An operator approach to constructing complex and reflecting stochastic processes
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**Abstract:** This dissertation investigates semigroups and generators of Markov processes confined to a bounded domain $D \subset \mathbb{R}^d$.
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---
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degree: Ph.D.
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field: Actuarial Science
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institution: Université de Lausanne
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location: Lausanne, Switzerland
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graduation_year: 2024
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thesis_title: Towards a Theory of Multivariate Gaussian Extremes
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advisor: Prof. Enkelejd Hashorva
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committee:
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- Prof. Joël Wagner
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- Prof. Philippe Soulier
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- Prof. Krzysztof Dębicki
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- Prof. Georgiy Schevchenko
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- Prof. Valérie Chavez-Demoulin
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gpa:
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honors:
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relevant_coursework: []
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---
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# Ph.D. in Actuarial Science
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## Thesis/Dissertation
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**Title:** Towards a Theory of Multivariate Gaussian Extremes
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**Abstract:** This thesis explores several directions in the theory of extremal behaviour of Gaussian processes opened by a recent paper by K. D ̧ebicki, E. Hashorva and L. Wang (2019). In Chapter 2 we extend their results from processes to a simple yet rich class of non-homogenous vector-valued Gaussian random fields. As an application of this extension, we derive exact asymptotic approximations of the so-called double crossing probabilities. In Chapters 3, we present a new class of covariance matrix functions of exponential type, which we later apply in Chapter 4 in conjunction with the Gordon inequality to the study of extremes of locally-homogenous Gaussian random fields. This allows to significantly simplify proofs and avoid using stringent assumptions, required by the previously available techniques. In Chapter 5, we introduce a class of multivariate Gaussian processes, Brownian decision trees, closely related to the well-known Branching Brownian motion and study their extremal behaviour. In Chapter 6, we investigate the Parisian ruin in the so-called many inputs proportional reinsurance risk model with fractional Brownian motion input.

vault/_pages/contact.md

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**Email:** {{ site.email }}
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**Office:** Extranef 134
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**Mailing Address:**
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Department des Sciences Actuarielles
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Département de sciences actuarielles
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Faculté des hautes études commerciales
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Université de Lausanne
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Quartier UNIL-Chamberonne
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Bâtiment Extranef
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Quartier Dorigny,
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1015 Lausanne,
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1015 Lausanne
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Switzerland
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## Academic Profiles

vault/_pages/index.md

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# Welcome
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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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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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## Recent Highlights
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vault/_temp/2018-phd-computer-science.md

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