I am a computational physicist specializing in numerical simulations, scientific computing, and computational modeling, with growing research interests in Machine Learning (ML) and High-Performance Computing (HPC).
My background combines computational physics, numerical methods, and scientific programming, with a focus on developing efficient algorithms for complex physical and mathematical problems.
- ๐ MSc in Technical Physics (Computational Physics) โ AGH University of Science and Technology
- ๐ BSc in Micro- and Nanotechnologies in Biophysics โ AGH University of Science and Technology
- ๐ Postgraduate studies in Machine Learning in Data Analytics โ AGH University of Science and Technology (ongoing)
- ๐ฌ Research experience at ACMiN AGH โ numerical simulations of electronic structure and quantum transport in low-dimensional materials
- ๐ง GMUM Research Group โ exploring machine learning, neural network architectures, and research on large language models
- Scientific Computing โ numerical algorithms, computational modeling, and simulation software
- Numerical Methods โ differential equations, linear algebra, and matrix-based methods
- Machine Learning โ neural networks, large language models, and computational approaches to learning
- High-Performance Computing โ parallel computing, performance optimization, and scalable simulations
- Computational Physics โ electronic structure, quantum transport, and condensed matter systems
- Stochastic Modeling โ Monte Carlo methods, stochastic processes, and complex systems
- Programming: C, C++, Python, MATLAB
- Scientific Computing: NumPy, SciPy, Matplotlib, Kwant
- Machine Learning: PyTorch
- Development: Git, Linux
- Email: poluszejkokacper@gmail.com
- LinkedIn: Kacper Poลuszejko
- Algorithms practice: LeetCode