Paweł Wieczyński
PhD Student in Computer Science
Institute of Computer Science, Polish Academy of Sciences (IPI PAN)
Biography
In 2020, I obtained my Master's degree in Mathematics from the University of Gdańsk. My master's thesis is available here.
I have extensive experience as a data analyst and data scientist in the finance industry, working in this field since 2018.
In 2025, I began pursuing my PhD in Computer Science at IPI PAN under the supervision of dr hab. Łukasz Dębowski.
My current research interests include natural language processing and time-series forecasting.
Contact & Professional Links
Publications
Enhancing financial time series forecasting: a comparative study of discrete wavelet transform and LSTM models for selected global indices
Quality and Quantity (2025)
https://doi.org/10.1007/s11135-025-02325-1
Long-Range Dependence in Word Time Series: The Cosine Correlation of Embeddings
Entropy, 2025
https://doi.org/10.3390/e27060613
Mercer Large-Scale Kernel Machines from Ridge Function Perspective
2024
https://arxiv.org/abs/2307.11925
Conference Presentations
Optymalizacja prognoz finansowych szeregów czasowych: porównanie dyskretnej transformacji falkowej i modeli LSTM na przykładzie wybranych indeksów giełdowych
V Konferencja Naukowa z cyklu "Inwestycje alternatywne", 2024, Lublin, October 17-18