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 (9)
correlation10
weighted10
lag9
bayesian9
clustering8
machine-learning6
time-series5
bioinformatics3
bioconductor3
Programming languages (1)
Github contributions (5)
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
time-series-analysistime-series-clusteringmachine-learningclusteringcorrelation
thevaachandereng/SSNI-shiny
Feb 2018 - Dec 2019
Contributions:2 releases, 51 pushes, 1 branch in 1 year 10 months
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