Data Scientist & Applied ML Engineer
Statistics PhD Candidate at Rice University | NSF GRFP Fellow
About Me:
I am a Statistics Ph.D. Candidate at Rice University seeking full-time Data Scientist or ML Engineer roles starting June 2027. My work bridges the gap between novel algorithmic development and scalable, production-ready machine learning. I specialize in high-performance computational statistics, scalable Bayesian modeling, and deep learning architectures, with applications to high-stakes domains like precision medicine and risk forecasting. With a technical stack spanning Python, PyTorch, C++, R, and SQL, I build both robust production ML pipelines and novel statistical methodologies, backed by 8 peer-reviewed publications in oncology and health outcomes.
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