- π Iβm currently working on Persistent Homology in Machine Learning
- π± Iβm currently learning Graph Neural Networks
- π° My last paper (Currently in Peer Review): Topology-Informed Machine Learning for Efficient Prediction of Solid Oxide Fuel Cell Electrode Polarization
I am an AI Engineer with a strong focus on research and development in artificial intelligence and machine learning. My work involves building AI solutions, conducting scientific research, and developing innovative models. Currently, I have a scientific paper under peer review.
I specialize in machine learning and persistent homology, a crucial area of topological data analysis that reveals hidden structures in high-dimensional data.
I am passionate about AI, machine learning, and data science, working on cutting-edge solutions in predictive modeling, deep learning, and optimization. I am also a member of the student research group AI Lab.
Feel free to connect with me for collaborations, discussions, or research opportunities!