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Hire Dr. Karl E.

United States

USD 200 /hr

PhD Statistician & Professor | Advanced Statistical Modeling, Machine Learning & Data Analysis

Profile Summary

I am a PhD statistician and Assistant Professor of Statistics at the University of Florida. My expertise includes statistical inference, time series and econometric modeling, and machine learning. I work with regression and generalized linear models, mixed and multilevel models, longitudinal and clustered data, time series and forecasting, and experimental and survey design. I help clients design studies, run and validate analyses, perform power and sample-size calculations, and strengthen the statistics in manuscripts and grant applications. I also review and troubleshoot existing analyses that need to hold up to scrutiny. I work primarily in R, C++, and Python and deliver results that are correct, reproducible, and clearly explained. Whether you need a study designed, a model built or checked, or advice on the right approach, I bring research-grade rigor and clear communication to the work. I have experience collaborating with researchers in a wide range of fields and am used to explaining statistical methods to non-experts.

Subject Matter Expertise

• ☆ Biostatistics
• ☆ Data Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Machine Learning
• ☆ Neural Networks
• ☆ Artificial Intelligence
• ☆ Financial Modeling
• ☆ Statistics
• ☆ Statistical Theory
• ☆ Applied Statistics
• ☆ Meta-Analysis
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Correlation Analysis
• ☆ Statistical Computing
• ☆ Mathematical Statistics
• ☆ Study Design
• ☆ Statistical Review
• ☆ Medical Statistics
• ☆ Python
• ☆ Matlab
• ☆ R
• ☆ Scikit-learn

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Data Cleaning, Data Processing, Data Insights

Work Experience

Assistant Professor

University of Florida Department of Statistics

August 2022 - Present

Assistant Professor

Karolinska Institutet

November 2021 - August 2022

Post-doc

Karolinska Institutet

June 2020 - November 2021

Postdoctoral Assistant

TU Wien

March 2019 - May 2020

Education

Doctor of Philosophy, Statistics (School of Statistics)

University of Minnesota

September 2014 - February 2019

Master of Science, Statistics (School of Statistics)

University of Minnesota

September 2014 - June 2017

Master of Science in Finance (Department of Economics)

University of Gothenburg

September 2010 - May 2014

Bachelor of Science in Economics (Department of Economics)

University of Gothenburg

September 2008 - May 2010

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Yiqiao Zhang, Karl Oskar Ekvall, Aaron J. Molstad (2026). Universal Inference for Variance Components . Stat.

Yiqiao Zhang, Karl Oskar Ekvall, Aaron J. Molstad (2026). Universal Inference for Variance Components . Stat.

Karl Oskar Ekvall, Matteo Bottai (2026). Uniform inference in linear mixed models . Biometrika.

Karl Oskar Ekvall, Matteo Bottai (2025). Uniform inference in linear mixed models . Biometrika.

Yiqiao Zhang, Karl Oskar Ekvall, Aaron J Molstad (2025). Fast and reliable confidence intervals for a variance component . Biometrika.

Yiqiao Zhang, Karl Oskar Ekvall, Aaron J Molstad (2025). Fast and reliable confidence intervals for a variance component . Biometrika.

Aaron J. Molstad, Karl Oskar Ekvall, Piotr M. Suder (2024). Direct covariance matrix estimation with compositional data . Electronic Journal of Statistics.

Gustin, K., Ekvall, K.O., Barman, M., Jacobsson, B., Sandin, A., Sandberg, A.-S., Wold, A.E., Vahter, M., Kippler, M.(2024). Mediation by Thyroid Hormone in the Relationships Between Gestational Exposure to Methylmercury and Birth Size . Exposure and Health. 16. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 357-368.

Molstad, A.J., Ekvall, K.O., Suder, P.M.(2024). Direct covariance matrix estimation with compositional data . Electronic Journal of Statistics. 18. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1702-1748.

K.O. Ekvall, M. Bottai (2023). Concave Likelihood-Based Regression with Finite-Support Response Variables . Biometrics.

Ekvall, K.O., Bottai, M.(2023). Concave likelihood-based regression with finite-support response variables . Biometrics. 79. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 2286-2297.

Karl Oskar Ekvall, Aaron J. Molstad (2022). Mixed‐type multivariate response regression with covariance estimation . Statistics in Medicine.

Karl Oskar Ekvall (2022). Targeted principal components regression . Journal of Multivariate Analysis.

Confidence regions near singular information and boundary points with applications to mixed models @article{Ekvall_2022, title={Confidence regions near singular information and boundary points with applications to mixed models}, volume={50}, ISSN={0090-5364}, url={http://dx.doi.org/10.1214/22-aos2177}, DOI={10.1214/22-aos2177}, number={3}, journal={The Annals of Statistics}, publisher={Institute of Mathematical Statistics}, author={Ekvall, Karl Oskar and Bottai, Matteo}, year={2022}, month=June } . The Annals of Statistics.

Ekvall, K.O.(2022). Targeted principal components regression . Journal of Multivariate Analysis. 190.

Ekvall, K.O., Molstad, A.J.(2022). Mixed-type multivariate response regression with covariance estimation . Statistics in Medicine. 41. (15). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 2768-2785.

Ekvall, K.O., Jones, G.L.(2021). Convergence analysis of a collapsed gibbs sampler for bayesian vector autoregressions . Electronic Journal of Statistics. 15. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 691-721.

Ekvall, K.O., Jones, G.L.(2020). Consistent maximum likelihood estimation using subsets with applications to multivariate mixed models . Annals of Statistics. 48. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 932-952.

OTHER

Markov Chain Monte Carlo @misc{Ekvall_2019, title={Markov Chain Monte Carlo}, ISBN={9781118445112}, url={http://dx.doi.org/10.1002/9781118445112.stat07189.pub2}, DOI={10.1002/9781118445112.stat07189.pub2}, journal={Wiley StatsRef: Statistics Reference Online}, publisher={Wiley}, author={Ekvall, Karl Oskar and Jones, Galin L.}, year={2019}, month=Nov, pages={1–9} } . Wiley StatsRef: Statistics Reference Online.