Thevaa Chandereng
Postdoctoral Research Scientist at Columbia University in the City of New York
New York, New York, United States
Summary
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Senior🎓
Top SchoolThevaa Chandereng is a postdoctoral research scientist at Columbia University with a decade of experience designing and analyzing adaptive randomized controlled trials. He specializes in methods for early stopping, response-adaptive randomization, multi-arm dropping, and integrating heterogeneous data sources using both Bayesian and frequentist frameworks. His work blends rigorous statistical theory from a Ph.D. in Statistics with practical trial experience gained at institutions like UW–Madison and industry exposure at Medtronic. Based in New York, he focuses on making adaptive designs more efficient and ethical in practice, often addressing subtle operational challenges in real-world trials. Colleagues value his ability to translate complex methodology into implementable trial protocols that balance flexibility with statistical integrity.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at University of Wisconsin-Madison
Github Skills (7)
bayesian10
clinical-trials10
clustering9
bioinformatics9
bayesian-methods9
time-series8
bioconductor5
Programming languages (1)
Github contributions (5)
thevaachandereng/SSNI-shiny
Feb 2018 - Dec 2019
Contributions:2 releases, 51 pushes, 1 branch in 1 year 10 months
gitter-lab/LPWC
Aug 2017 - Jan 2020
Lag Penalized Weighted Correlation for Time Series Clustering
Contributions:4 releases, 276 commits, 66 PRs in 2 years 5 months
clusteringtime-seriesbioinformatics
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