Emily Mcmilin

Research Scientist at Manning Publications Co.

Menlo Park, California, United States
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Summary

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Senior
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Top School
Emily Mcmilin is a research scientist based in Menlo Park with eight years of experience bridging applied hardware engineering and machine learning research. She moved from designing antennas for Apple products to advancing generative AI for developer productivity as a senior researcher on Meta's PyTorch team. Her independent research on offline RL, causal inference, and selection biases in large language models has been presented at NeurIPS, ICML workshops, and UAI venues, reflecting a strong track record in causality and NLP. Emily also serves as a technical editor and frequent invited speaker, combining rigorous academic training (PhD in Electrical Engineering, BS in Symbolic Systems) with production-focused engineering. Colleagues describe her as a curious generalist who surfaces subtle dataset and selection issues that can silently undermine generative model behavior.
code8 years of coding experience
job13 years of employment as a software developer
bookMaster of Applied Science, Electrical and Computer Engineering, Master of Applied Science, Electrical and Computer Engineering at University of Victoria
bookBachelor of Science, Symbolic Systems, Bachelor of Science, Symbolic Systems at Stanford University
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Github Skills (38)

evaluation10
datasets10
speech10
computer-vision10
nlp10
multiclass-classification10
pandas9
pytorch9
manipulation9
machine-learning9
natural-language-processing9
tensorflow9
deep-learning9
hyperparameter-tuning8
keras8

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:1 release, 8 commits, 2 PRs in 1 year 4 months
Contributions:11 commits, 3 pushes in 1 month
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Emily Mcmilin - Research Scientist at Manning Publications Co.