Klaus Ackermann
Associate Professor
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolKlaus Ackermann is an associate professor in econometrics and business statistics at Monash University who combines a PhD in economics with deep technical training in business informatics to study how technological progress reshapes human behaviour and policy outcomes. Over 11+ years he has moved between academia and applied data science—holding roles from postdoctoral research at the University of Chicago’s Center for Data Science and Public Policy to co-founding a data consultancy, KASPR Datahaus. His work blends machine learning, causal econometrics and large-scale internet activity analysis to produce novel insights on topics ranging from sleep patterns and productivity to electoral manipulation in autocracies. He teaches and advises on applied methods while serving on university governance, translating research into operational improvements for not-for-profits and public policy. Notably, his PhD produced the first global estimates of human sleep patterns derived from internet activity and introduced tools to detect political tampering with online infrastructure. Based in Melbourne, he brings a practical, impact-driven approach to bridging computational methods with social and economic questions.
10 years of coding experience
11 years of employment as a software developer
Vienna University of TechnologyFederal Higher Technical Institute for ElectronicsGraduate Diploma of Commerce, Finance, Graduate Diploma of Commerce, Finance at RMIT UniversityErasmus Exchange Student, Information Systems, Erasmus Exchange Student, Information Systems at University of SurreyDoctor of Philosophy (PhD), Economics, Doctor of Philosophy (PhD), Economics at Monash University
English, German
Github Skills (31)
predict10
prediction10
artificial-intelligence9
python9
machine-learning9
intervention9
modeling9
database3
sqlite2
mysql2
sql-parser2
forecast2
sql2
survey2
orm2
Programming languages (2)
Github contributions (5)
dssg/police-eis
Oct 2016 - Mar 2018
Contributions:1 release, 153 commits, 24 PRs in 1 year 5 months
pythonmachine-learningpredictpoliceintervention
k1aus/parallelsql
Jul 2015 - Feb 2016
Contributions:4 commits, 3 pushes, 1 branch in 6 months
mysqlsql-queriessqlsqlitedatabase
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