Data scientist building production ML for anomaly detection, LLM pipelines, and applied econometrics
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💼 Most recently: Data Scientist at Periphery Security, building ML pipelines for cybersecurity anomaly detection and an LLM-orchestrated pipeline that turns new regulations into audit-ready compliance rules
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🧠 Background: a PhD heavily focused on applied econometrics and causal inference, then six years of quantitative research before moving into production ML
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📝 Published journal articles: https://scholar.google.com/citations?user=4VJuevsAAAAJ&hl=en
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💬 Ask me about: Statistics, Econometrics, Causal Inference, Machine Learning, LLM/GenAI pipelines
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🧵 Fun fact: I sew. Not an expert, I just like figuring out how to make something work. Fixed my own clothes, made a blouse from scratch.
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🔒 Note: the repos pinned below are from earlier in my learning journey (applied stats and ML fundamentals). My production work at Periphery is proprietary and isn't public.
