Thomas Maierhofer
Lecturer at UCLA
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolThomas Maierhofer is a Statistics and Data Science lecturer at UCLA with nine years of experience bridging academic research and applied analytics. He specializes in interpretable machine learning, time series analysis, Bayesian methods, and data visualization, bringing rigorous probabilistic thinking to practical problems. His PhD from UCLA follows a strong European foundation (MS and BS from Ludwig-Maximilians Universität München) and a track record of statistical consulting on policy-relevant projects and published health-economics research. Prior roles include senior statistician work on NLP vector representations and industry experience at BMW developing automated defect-detection prototypes. Known for clear teaching—having led recitations and supervised consultants—he blends classroom pedagogy with hands-on methodological development. Based in Los Angeles, he combines deep methodological skill with experience translating models into decision-ready tools.
9 years of coding experience
6 years of employment as a software developer
Ludwig Maximilian University of MunichMathematics, Operational Research and Statistics, Mathematics, Operational Research and Statistics at Cardiff University / Prifysgol CaerdyddUniversity of California, Los Angeles
German, English, French
Github Skills (38)
multilabel-classification10
r-package10
classification10
feature-selection10
survival-analysis10
mlr10
tidymodels10
regression10
mixed-models10
r-language10
variable-selection10
predictive-modeling10
meta-analysis10
cross-validation10
clustering10
Programming languages (4)
Github contributions (5)
maierhofert/Masterarbeit
May 2017 - Mar 2018
Contributions:117 pushes, 3 branches in 10 months
maierhofert/wordlenatoR
Jan 2022 - Jan 2024
Contributions:3 pushes, 1 branch in 1 year 11 months
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