CV

Education

PhD in Physics
- Thesis: Mapping complex networks in low-dimensional hyperbolic spaces
- Departament de Física de la Matèria Condensada, Universitat de Barcelona, 2021-(now)
- Supervisors: Profs. M. Ángeles Serrano and Marián Boguñá
MSc in Data Exploration and Interdisciplinary Modeling, Summa Cum Laude
- Thesis: Interactions in signed complex networks
- Faculty of Physics, Warsaw University Of Technology, 2020-2021
- Supervisor: Dr Piotr Górski
BSc in Applied Physics (Computational Physics), Summa Cum Laude
- Thesis: Predicting election polls results using machine learning tools
- Faculty of Physics, Warsaw University Of Technology, 2016-2020
- Supervisor: Dr Julian Sienkiewicz

Jul 2021 - Aug 2021 Research Intern
- Samsung R&D Institute Poland
- Working in Bixby team, focusing on Automatic Speech Recognition
May 2021 - Dec 2021 Student researcher
- Dr Anna Chmiel’s group at Warsaw University of Technology
- Conducting a series of epidemic simulations (SIRD/SIORD) on multilayer BA networks while considering agents opinions’ impact on restrictions.
Sep 2020 - Sep 2021 Student researcher
- Prof. Holyst’s group of Physics in Economy and Social Sciences at Warsaw University of Technology
- Design agent-based models on complex networks in project: Signed Relations and Structural Balance in Complex Systems: From Data to Models
Jul 2020 - Sep 2020: NLP Research Intern
- Samsung R&D Institute Poland
- Developing and testing deep learning models for named entity recognition task
Sep 2019 – Nov 2019: Junior Scala Developer
- TouK sp. z o.o. s.k.a.
- Backend development using Scala, Akka, Cats, Docker, Python
Jul 2019 – Aug 2019: Scala Intern
- TouK sp. z o.o. s.k.a.
- Backend development using Scala, Akka, Cats
Jul 2018 - Aug 2018: Software Engineering Intern
- Ilabo Sp. z o.o., Warsaw
- Software development in web technologies - C#, .NET Core, LINQ, xUnit.net

Good programming skills: Python, Java, Rust, C++
Knowledge in network science, agent-based modeling and simulations on multilayer networks
Experience in machine learning, deep learning algorithms and natural language processing