Research Fellow

Ph.D. in Mathematical Methods and Modeling in Science and Engineering (International Doctoral Program, Excellent Evaluation), specializing in Deep Learning and Machine Learning. Over five years of experience developing AI models for complex physical and geospatial systems, including time series analysis, geodetic data processing, and predictive modeling. Proficient in Python, Jupyter Notebooks, and ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Experienced in designing experiments, preprocessing large datasets, and evaluating model performance to optimize AI workflows. Reviewer for the international journal Earth, Planets and Space (Springer Nature). Highly motivated to contribute to AI research projects by implementing robust machine learning solutions, validating prompt-based AI systems, and collaborating asynchronously with engineering teams.