Jami Mulgrave
Marketing Data Scientist
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolJami Mulgrave is a data scientist at Meta with a PhD in Statistics and eight years of experience applying Bayesian methods, causal inference, and machine learning to marketing, experimentation, and people-analytics problems. At Meta she builds audience-targeting and personalization models, constructs marketing-mix and forecasting pipelines, and authors internal standards as a member of the Statistical Review Committee. Her background includes postdoctoral work on data assimilation and EMR analysis, technology transfer fellowship experience at Columbia, and practical analytics roles across industry research labs and clinical settings. She blends rigorous statistical research with production-facing engineering in Python, R and SQL, and also experiments with LLMs to automate workflows. Outside work she explores the intersection of music and algorithms—founding a Substack that teaches data structures and algorithms through music—bringing a creative spin to technical communication.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at North Carolina State UniversityBachelor of Arts (BA) Psychology Concentration in the Premedical Sciences, Bachelor of Arts (BA) Psychology Concentration in the Premedical Sciences at Columbia University
English, Spanish
Github Skills (15)
nlp10
natural-language-processing9
python9
machine-learning9
speech-recognition9
deep-learning9
pytorch9
transformer9
tensorflow8
language-model8
transformers8
bert8
jax7
seq2seq6
flax5
Programming languages (1)
Github contributions (5)
jnj2102/BayesianNonparanormal
Dec 2017 - Dec 2018
Contributions:35 commits, 36 pushes, 1 branch in 11 months
jnj2102/RankLikelihood
May 2018 - Apr 2020
Contributions:10 pushes, 1 branch in 1 year 11 months
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