Daniel Grady
Principal Data Scientist
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolDaniel Grady is a Principal Data Scientist in San Diego with 14 years of experience building production AI/ML systems across healthcare, security, and defense. He leads a team of Ph.D. scientists developing algorithms that map novel optical signals to human hemodynamics, combining deep learning (PyTorch) with rigorous signal processing and statistical evaluation aligned to international standards. His work at Rockley Photonics includes IRB-led human trials, cloud-scale pipelines for terabyte-scale sensor data, and contributions to ISO and medical-device documentation, plus a patent and white papers. Earlier roles span large-scale identity graph resolution, anomaly detection for financial transactions, and unsupervised EM signal classification for government projects, showing a strong blend of research and production engineering. He holds a Ph.D. in Engineering Science and Applied Mathematics from Northwestern and is adept at translating complex physical models into deployable, auditable ML systems. A less obvious strength is his track record of designing evaluation methods that explicitly account for out-of-sample variation across subjects and hardware—critical for clinical-grade, non-invasive monitoring.
14 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Engineering Science and Applied Mathematics, Doctor of Philosophy (Ph.D.) Engineering Science and Applied Mathematics at Northwestern UniversityBachelor of Science (B.S.) Mathematics, Bachelor of Science (B.S.) Mathematics at William & Mary
English, German
Stackoverflow
1,105reputation
271kreached
9answers
10questions
Github Skills (73)
python10
pandas10
statistics10
data-science10
data-structure10
data-analysis10
data-structures10
visualization9
machine-learning9
linux-shell8
scikit-learn8
textmate8
markdown7
javascript7
prompt-tuning7
Programming languages (7)
Github contributions (5)
DGrady/.dotfiles
Feb 2015 - Dec 2019
Contributions:140 pushes in 4 years 10 months
DGrady/pandas
Feb 2016 - Aug 2017
Contributions:17 pushes, 4 branches in 1 year 6 months
manipulationmanipulation-librarydata-analysispythondata
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