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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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About Me
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Posts
A very gentle introduction to e-values
Published:
Preliminaries
This blog post is intended to provide some intuition behind e-values, a framework for statistical hypothesis testing that has gained traction in the statistics and ML community over the last 5 years or so. The goal with this post is to briefly communicate what e-values are and how they’re connected to testing. I assume familiarity with statistics and the basic concepts of hypothesis testing, so be sure to brush up on those before reading. I will also use Markov’s inequality, which states that for any non-negative random variable $Z$ and $z>0$, \(P(Z \geq z) \leq \frac{\mathbb E[Z]}{z}.\)
cv
portfolio
publications
talks
Poster Presentation–Bayesian Multi-Study Clustering of Sepsis Patients
Published:
I presented a poster at the 2022 ISBA World Meeting in Montreal on how to incorporate prior information into mixture modeling, with an application to clustering sepsis patients.
Talk–Bayesian Multi-Study Clustering of Sepsis Patients
Published:
I gave a talk at AISC 2022 on clustering sepsis patients using informative priors.
Talk–Bayesian Clustering via Fusing of Localized Densities
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I gave a talk at BAYSM 2023 on fusing of localized densities (FOLD). Additionally, I won an award for best long talk!
Talk–Product Centered Dirichlet Processes for Dependent Clustering
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I gave a talk at the 2024 ISBA World Meeting as part of the invited session “Recent advances in Bayesian clustering for complex data”.
Talk–Product Centered Dirichlet Processes for Dependent Clustering
Published:
I gave a talk at JSM 2024 on the PCDP as part of the SBSS student paper competition.
teaching
TA–STA 360: Bayesian Methods and Modern Statistics
Undergraduate course, Duke University, Department of Statistical Science, 2021
TA–STA 470S: Introduction to Statistical Consulting
Undergraduate course, Duke University, Department of Statistical Science, 2022
TA–STA 831: Probability and Statistical Models
PhD course, Duke University, Department of Statistical Science, 2023
TA–STA 490/690: Special Topics (Analysis of Time-to-Event Data)
Undergraduate and graduate course, Duke University, Department of Statistical Science, 2024