Quantitative Researcher | Data Scientist
Bridging rigorous numerical mathematics with systematic quantitative trading and deep learning.
LinkedIn • Email • GitHub • Ho Chi Minh City, Vietnam
I am a Quantitative Researcher with an academic foundation in Numerical Analysis.
Artificial Neural Networks for Differential Equations in PyTorch
Repository: huuan26/ANN-ODE-Solver
Tech Stack: Python, PyTorch, NumPy, Matplotlib
- Implements deep feed-forward neural network solvers for linear, non-linear, oscillatory, second-order, and coupled ODE systems based on the foundational framework by Lagaris et al. (1998).
- Utilizes hard-constrained trial solution formulations that strictly satisfy initial and boundary conditions analytically, eliminating the need for boundary penalty tuning.
- Employs exact PyTorch computational graph automatic differentiation (
torch.autograd), achieving over 100x lower error compared to classical Forward Euler integration.
Automated Epileptic Seizure Detection from Short-Term EEG Signals
Repository: huuan26/EEG-Seizure-Classification
Tech Stack: Python, PyTorch, Scikit-learn, SciPy, MNE
- End-to-end biomedical data science pipeline for detecting and classifying epileptic seizures from multi-channel EEG recordings.
- Incorporates frequency-domain feature engineering, wavelet transforms, and deep learning architectures with comprehensive cross-validation.
- Bachelor of Science in Mathematics (Numerical Analysis)
VNU-HCM University of Science (Đại học Khoa học Tự nhiên - ĐHQG TP.HCM)
Focus: Numerical Methods, Differential Equations, Optimization, Probability & Mathematical Statistics.
- Email: phanbuihuuan261103@gmail.com
- LinkedIn: linkedin.com/in/an-phan-6b6365350
- GitHub: github.com/huuan26
- Location: Ho Chi Minh City, Vietnam