PI-DeepONet
Implementing a physics-informed DeepONet from scratch
Possibly Available
About
I am a data scientist specialized in statistical modeling and uncertainty analysis for reliable system design.
Evidence-backed skills
Repositories
Surrogate_Optimization
A step-by-step guide for surrogate optimization using Gaussian Process surrogate model
Gaussian-Process
Implementing a Gaussian Process regression model from scratch
language_learning_app
A dual-chatbot system for learning languages based on LangChain
PINN_symbolic_regression
Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression
LLM-guided-AutoML
LLM-guided hyperparameter tuning
Data-driven-High-dimensional-UQ-Analysis
Project source code and data for uncertainty quantification on combustion instability prediction using a machine-learning-enhanced strategy
research_paper_digesting_with_dual_chatbot
Using role-playing dual-chatbot system to digest scientifc research papers
Gaussian-Process-Package
A Gaussian Process package to train and exploit Gaussian Process models
Forward_UQ
A step-by-step tutorial to perform forward uncertainty quantification analysis using Monte Carlo method
Multi-Fidelity-ML
Project source code and data for multi-fidelity machine learning strategy for flame model identification
neuralODE
Implementing the Neural ODE approach for system identification and parameter estimation.