University of Texas at Austin
Doctor of Philosophy, Computational Science and Engineering
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I am a STEM PhD researcher with a strong background in AI-driven data modeling, data annotation, and training data optimization for scientific and engineering applications. My experience includes curating large, high-quality datasets, developing and validating predictive algorithms, and ensuring data consistency for machine learning models using Python, R, and MATLAB. I have worked closely with AI developers to refine model interpretability and data quality, particularly in projects involving experimental science, materials analysis, and real-time system simulation. My technical expertise spans deep learning, NLP, data preprocessing, and statistical analysis, and I am passionate about leveraging data to drive innovation and support decision-making in interdisciplinary environments.
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Doctor of Philosophy, Computational Science and Engineering
Master of Science, Applied Physics and Data Analytics
STEM Research Scientist
Technology Research Associate