About Me

I graduated in physics from the University of Warsaw, initially focusing on nuclear physics. Over time, my interests shifted towards finance and complex systems, where I explore quantitative methods and market dynamics.

Open-Source Projects

My primary focus is on computer simulations and data science. I am particularly interested in projects that help better understand the world of finance, especially the nature of stock markets and trading.

Agent-Based Market Simulation

A Python-based agent-based simulation (ABM) that models the dynamics of a financial market by simulating interactions between autonomous trading agents. Each agent follows distinct behavioral rules and submits limit or market orders to a fully custom-built limit order book (LOB) engine implemented from scratch.

The platform serves as an experimental environment for studying market microstructure, developing and testing trading strategies, and analyzing emergent phenomena such as price volatility, bid-ask spreads, and liquidity dynamics. By simulating various agent types — such as market makers, noise traders, and arbitrageurs — this tool enables exploration of how individual behavior aggregates into collective market outcomes.

View on GitHub

Automated Data Collection API

Automated Data Collection API

An out-of-the-box tool for aggregating data from various sources. A central API handles authentication and data storage, while small, dedicated agents—built with a simple SDK—collect data from APIs, websites, or internal tools and send it to the hub.

This setup allows you to quickly connect new sources without writing complex backend code. It’s well-suited for research projects, automated monitoring, or internal dashboards that rely on regular data updates.

Example: you can deploy agents to monitor exchange rates, track the popularity of a post on X, check daily air quality levels, or even get notified when tickets for your favorite band go on sale. Wherever there's data, agents can help you stay up to date automatically.

View on GitHub

Financial Time Series Reconstruction

Reconstruction of missing values in minute-level stock price data is achieved by leveraging partially observed index trajectories and known correlations between individual stocks and the broader market. Even when index data is incomplete, it can provide valuable context for estimating stock behavior within the same time window.

The current model, based on a neural network, is pre-trained on synthetic data and fine-tuned on real price data from the Warsaw Stock Exchange. It works on 60-point sequences (e.g., one hour at one-minute resolution), where both the stock and index series may have gaps.

An open-source implementation with a REST API is available on GitHub. The project is actively developed, with a focus on improving model robustness. Initial motivation came from earlier experiments at lower time resolutions, which yielded promising results.

View on GitHub

Gas Simulation with GUI

Gas Simulation with Graphical Interface

A physics-based simulation demonstrating thermodynamic principles, particularly molecular energy distribution in a gas system.

The GUI visualizes molecular motion and energy exchange, illustrating how particle interactions lead to equilibrium, aligned with the Maxwell-Boltzmann distribution. A simple yet effective educational tool.

View on GitHub

My Interests

I am passionate about exploring the intersections of finance, physics, and computational science. My interests include:

  • Simulations & Agent-Based Modeling – Particularly in social networks and financial markets, focusing on how individual agent interactions shape macro-level outcomes.
  • Developing Efficient and Practical Applications – I enjoy designing solutions that are not just theoretically sound but also practical and user-friendly, with a strong emphasis on automation and data-driven decision-making.
  • Physics – Nuclear & Particle Physics – During my undergraduate studies, I worked on particle detection, including applications in nuclear security and radiation monitoring.
  • Physics of Vibrations & Waves – I am fascinated by the physics of acoustics, harmony, and musical instruments, exploring how mathematical and physical principles govern sound production and perception.
  • Atmospheric Physics & Climate Change – While I have never actively worked in this field, I follow research on climate change and atmospheric dynamics out of personal interest.
  • Non-Invasive Geological Methods – I am interested in techniques such as LIDAR scanning and muon tomography, which allow for subsurface imaging without physical drilling.
  • Genealogy & Historical Social Networks – I am fascinated by genealogy both as a study of social networks over time and as an exploration of historical documents, literature, and everyday life in past centuries.

Find Me Online

The fastest way to reach me is through LinkedIn. I am open to collaboration on exciting projects across various fields, primarily physics, simulations, and finance.

I am interested in both commercial projects and innovative non-profit or academic initiatives.