Sonia G.
Research Fellow
Experience
Research Fellow
BKG Federal Agency for Cartography and Geodesy
- Applied machine learning techniques to geospatial and time series prediction, designing robust models and evaluating their accuracy.
- Built data pipelines, performed feature selection, and conducted model optimization to support operational geodetic services.
- Delivered analytical insights and visualizations to support decision-making in scientific and technical teams.
Research Fellow
GFZ German Research Centre for Geosciences
- Performed applied AI research involving large-scale geodetic datasets, model testing, and experimental analysis.
- Worked independently and asynchronously with international teams to develop reproducible ML workflows.
- Contributed to forecasting and time series modeling for Earth observation applications.
Research Scientist
VLBI Analysis Center – University of Alicante
- Developed and optimized machine learning and deep learning models for large geospatial and time series datasets, improving predictive accuracy for Earth rotation and geodetic parameters.
- Designed and executed data preprocessing pipelines using Python (NumPy, Pandas, SciPy) and implemented model evaluation workflows in Jupyter Notebooks.
- Built dashboards and visualizations to communicate complex results to interdisciplinary teams.
Research Assistant & Ph.D. Candidate
University of Alicante
- Conducted advanced research in AI-driven modeling, creating neural network architectures and predictive models for complex physical systems.
- Designed and ran experiments, tuned ML workflows, and validated results using Python, scikit-learn, TensorFlow and PyTorch.
- Managed large datasets, implemented feature engineering techniques, and documented experimental findings for publications and reports.
Summary
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.
Languages
Education
University of Alicante
Ph.D., International Doctoral Program, Excellent Evaluation · Mathematical Methods and Modelling in Science and Engineering · Alicante, Spain
University of M’Hamed Bougara Boumerdes
Master’s in Operations Research, Optimization and Strategic Management · Operations Research, Optimization and Strategic Management · Boumerdes, Algeria
University of M’Hamed Bougara Boumerdes
Bachelor in Mathematics and Computer Science · Mathematics and Computer Science · Boumerdes, Algeria
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