Carol Anderson
Data Scientist And Responsible AI Researcher
Lehi, Utah, United States
Summary
🤩
Rockstar🎓
Top SchoolCarol Anderson is a data scientist and responsible AI researcher with nine years of experience applying machine learning to NLP, biological data, and health records, and a prior career as a tenure-track molecular biologist. She has led production ML projects—building obituary and marriage-announcement pipelines at Ancestry and optimizing transformer-based models for NVIDIA’s Riva—while shrinking model size and latency for embedded deployments. Skilled at translating messy, real-world data into reliable features, she has normalized EHRs for cancer outcome prediction and built custom genomics analysis software from next-generation sequencing. Active in the AI ethics community, she co-leads research at the AI Risk and Vulnerability Alliance, holds multiple ethics and audit certifications, and helped deploy tools for public algorithmic audits. Carol also mentors volunteer teams on gender-bias measurement and collaborates with journalists on data-intensive investigations, combining deep domain expertise in biology with practical, production-grade ML and audit experience.
9 years of coding experience
13 years of employment as a software developer
B.S. Chemistry, B.S. Chemistry at Yale UniversityPh.D. Biochemistry and Molecular Biology, Ph.D. Biochemistry and Molecular Biology at University of California, San Francisco
Github Skills (58)
speaker-diarization10
speech-to-text10
machine-translation10
pytorch10
language-model10
python10
machine-learning10
speech-synthesis10
multimodal10
text-normalization10
large-language-models10
nmt10
deep-learning10
tensorflow10
generative-ai10
Programming languages (5)
Github contributions (5)
carolmanderson/Modeling
Jun 2017 - Aug 2023
Contributions:5 pushes, 1 branch in 6 years 3 months
carolmanderson/food
Jan 2020 - Jul 2023
Sample NLP projects using recipe data
Contributions:33 pushes, 2 branches in 3 years 5 months
nlpdata-analysispythonrecipemachine-learning
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