Data Scientist & Applied ML Engineer
Statistics PhD Candidate at Rice University | NSF GRFP Fellow | Ex-Hartford Steam Boiler & FDA
About Me:
I am a Statistics Ph.D. Candidate at Rice University seeking full-time Data Scientist or ML Engineer roles starting June 2027. I thrive on building rigorous, high-performance ML systems that solve high-stakes clinical and enterprise challenges. At the FDA, this meant extracting critical insights from sparse clinical datasets to inform regulatory decisions. At MD Anderson Cancer Center, I developed novel statistical algorithms when existing methods fell short. And at Hartford Steam Boiler, I engineered scalable, production-ready ML pipelines for cybersecurity risk forecasting. My technical stack spans Python, R, C++, and SQL, backed by 8 peer-reviewed publications (220+ citations) and 2 open-source R/C++ machine learning packages. If you are looking for someone who combines deep statistical rigor with scalable, production-ready ML engineering, I would love to connect!
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