Joshua Lambert
Associate Professor
Cincinnati, Ohio, United States
Summary
👤
Senior🎓
Top SchoolJoshua Lambert is an Associate Professor of Biostatistics and Epidemiology with a decade of experience applying and inventing statistical methods for high-impact, real-world problems. He leads multidisciplinary teams on big-data, cloud-based projects (AWS, Snowflake, SQL) including NIH- and state-funded studies on COVID-19 therapeutics and prenatal opioid exposure, and has served as PI or key personnel on over $1M in grants since 2018. Joshua develops and popularizes practical algorithms—most notably the Feasible Solutions Algorithm and its rFSA R package, which has been widely adopted across diverse fields—and explores novel ideas like Pareto optimality in regression and ML. He teaches PhD-level multivariable and multivariate statistics, mentors graduate students in both methodological research and applied analytics, and blends rigorous theory with hands-on implementation in R, Python, SAS, and JMP. Based in Cincinnati, he combines deep academic scholarship with an entrepreneurial drive to translate statistical innovation into usable tools for clinicians and scientists.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Epidemiology and Biostatistics, Doctor of Philosophy (Ph.D.), Epidemiology and Biostatistics at University of KentuckyMaster of Science (MS), Mathematics, Master of Science (MS), Mathematics at Murray State University
English
Github Skills (5)
posters6
pdf-generation2
rmarkdown2
markdown2
pdf2
Programming languages (2)
Github contributions (5)
joshuawlambert/Presentations
Feb 2016 - Aug 2022
Contributions:5 pushes, 1 branch in 6 years 7 months
joshuawlambert/data
Dec 2017 - Oct 2020
Contributions:23 pushes, 1 branch in 2 years 10 months
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