doi.bio/skipper_seabold

Skipper Seabold

Skipper Seabold is a researcher and mentor with expertise in machine learning, statistics, and economics. He has made significant contributions to the field of statistical modelling, particularly through his work on the open-source Python library Statsmodels.

Education and Career

Skipper Seabold's educational background is unknown. However, his career in research and mentorship is notable. He has been a mentor for graduate students working on the Statsmodels project as part of the Google Summer of Code in 2012 and 2014.

Research and Work

Seabold has been involved in various research projects and has worked with several organizations. His most notable work is his contribution to the development of Statsmodels, a Python library for statistical and econometric analysis. He has also conducted research on time series analysis, impulse response functions, and cointegration tests.

Seabold has worked with organizations such as Google Summer of Code, SciPy, and Civis Analytics. He currently works for HCA as a Sr HR Analyst and Data Scientist.

Publications and Presentations

Seabold has authored and co-authored several publications, including:

"Time Series Analysis in Python with statsmodels"
"Incorporating prior information when true priors are unknown: An Information-Theoretic approach for increasing efficiency in estimation"
"Observer Effect in Social Media Use"
"Monte Carlo Standard Errors for Impulse Response Functions"
"A novel hybrid time-series approach for IoT-cloud-enabled environment monitoring"

He has also presented at conferences such as PyCon and SciPy, and has given tutorials on Python for data science.

Conclusion

Skipper Seabold has made valuable contributions to the fields of machine learning, statistics, and economics, particularly through his work on the Statsmodels library and his research in time series analysis. His career has included both research and mentorship, and he continues to be an active member of the data science community.