Engineering Researcher & Data Scientist
Passionate about computational modeling, machine learning, and experimental data analysis. Focused on leveraging data-driven methods such as Gaussian processes and PyTorch to solve complex engineering challenges.
ETH Zurich · Researcher
Developed probabilistic machine learning models to predict expansion ratios and material properties during high-pressure foaming experiments.
Created an automated parsing and validation suite for multi-variable experimental testing records, accelerating data processing times.