Summary
E Haghish is a postdoctoral researcher and statistical software developer with 11 years’ experience applying machine learning and computational statistics to health psychology and suicide prevention. Based in Bergen and affiliated with the University of Oslo, he builds and publishes practical algorithms and toolkits for severe class imbalance, stacked ensembles, multiple imputation with ML, and fairness-aware classification comparisons. He combines deep methodological expertise (R, Python, Stata, C++) with hands-on deployment of risk-detection systems that identify adolescents at high suicide risk. A seasoned lecturer and former postdoc across several European universities, he pairs teaching in computational statistics with reproducible software engineering for research. Less obvious: his background spans both web experiments and epidemiological infrastructure, giving him an unusual blend of experimental programming and large-scale biostatistical tool development.
11 years of coding experience
5 years of employment as a software developer
Johns Hopkins University
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of Southern Denmark
The University of Freiburg
Doctor of Philosophy - PhD, Social Data Science, Doctor of Philosophy - PhD, Social Data Science at University of Oslo
Norwegian University of Science and Technology
English, Persian, Arabic, German, Spanish, Danish