Iβm a Machine Learning Engineer and current PhD Candidate at NTUA.
My work focuses on applying AI and computational modeling to chemistry, toxicology, and pharmacokinetics.
- Developer of jaqpotpy, a Python package for building, packaging (ONNX), and deploying ML models on the Jaqpot platform.
- Experience with Physics-Informed Neural Networks (PINNs) for parameter estimation in kinetic and PBK models.
- Developed QSAR models using classical machine learning methods to predict properties of potentially toxic substances.
- Background in physiologically based kinetic (PBK) modeling for nanoparticles, PFAS and other chemical substances.
- Expanding knowledge and hands-on practice in Natural Language Processing (NLP), transformers, and emerging AI technologies.
- Exploring their intersection with chemistry and computational modeling.
Always looking to collaborate at the intersection of machine learning, chemistry, and computational modeling.



