Auss Abbood

PhD Candidate

Cambridge, England, United Kingdom
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Summary

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Senior
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Top School
Auss 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.
code9 years of coding experience
job7 years of employment as a software developer
bookBachelor of Science - BS Life Science, Bachelor of Science - BS Life Science at Goethe University Frankfurt
bookMaster of Science - MS Cognitive Science, Master of Science - MS Cognitive Science at Universität Osnabrück
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Github Skills (47)

python10
geonames10
pandas10
manipulation10
data-science9
scoring9
data-manipulation9
dataframes9
infectious-diseases9
data-analysis9
frame9
surveillance9
data-structures9
prediction8
garmin8

Programming languages (5)

TeXJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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aauss/aauss.github.io

Feb 2019 - Apr 2023

My webpage
Contributions:19 pushes, 1 branch in 4 years 2 months
webpage
aauss/aussinator_paper

Aug 2019 - Jun 2020

Paper
Contributions:9 PRs, 39 pushes, 3 branches in 10 months
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Auss Abbood - PhD Candidate