Auss Abbood
PhD Candidate
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAuss Abbood is a data scientist and PhD candidate in Computation, Cognition and Language at Cambridge with nine years’ experience building algorithmic disease surveillance systems and applied ML for public health. At the Robert Koch Institute he led projects that combined NLP, time series and tabular methods to support national ICU monitoring and cross-border risk assessment, and co-led an 18-partner consortium on early infectious-disease detection. He has a track record of moving research into high-stakes operational systems—developing pipelines used by millions during COVID-19—and of training international partners across Central Asia, Southern Africa and Southeast Asia. Methodologically versatile, he has built privacy-preserving generative models, relevance-scoring NLP tools that cut screening time, and production-ready forecasting models. Based in Cambridge with a background in cognitive science and life sciences, he brings a rare blend of computational rigor and practical public-health impact.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Life Science, Bachelor of Science - BS Life Science at Goethe University FrankfurtMaster of Science - MS Cognitive Science, Master of Science - MS Cognitive Science at Universität Osnabrück
Github Skills (23)
python10
geonames9
data-science9
data-structure9
pandas9
infectious-diseases9
surveillance9
data-analysis9
data-structures9
nlp6
natural-language-processing6
visualization6
algorithms5
spacy4
quantum-computing4
Programming languages (5)
Github contributions (5)
aauss/epi-quark
Aug 2020 - Apr 2022
Based on labeled data, multi-class and multi-label scoring of outbreak detection, annotation or prediction algorithms.
Contributions:3 reviews, 68 commits, 6 PRs in 1 year 8 months
epidemiologyinfectious-diseasespython
aauss/aauss.github.io
Feb 2019 - Apr 2023
My webpage
Contributions:19 pushes, 1 branch in 4 years 2 months
webpage
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