Biography

Justin Silverman is a MD-PhD candidate at Duke University. His PhD work is being done in the Program of Computational Biology and Bioinformatics under the mentorship of Dr. Lawrence David and Dr. Sayan Mukherjee. Justin’s dissertation work focuses on longitudinal modeling and experimental design of host-associated microbiota.

In his free time Justin enjoys exploring the outdoors (backpacking, canoing, rock climbing), creating puzzles, or simply relaxing by Jordan Lake with his wife (Rachel) and their dog (Gauss). Justin and Rachel also maintain a blog statsathome.com.

• Dynamic linear models guide design and analysis of microbiota studies within artificial human guts

  Details PDF Code Dataset

• The Bayesian Sorting Hat: A Decision-Theoretic Approach to Size-Constrained Clustering

  Details PDF Code Dataset Supplement

• Phylogenetic factorization of compositional data yields lineage-level associations in microbiome datasets

  Details PDF Code

• A phylogenetic transform enhances analysis of compositional microbiota data (PhILR)

  Details PDF Code Figure Supplements

• Statistical and Geometric Methods for the Analysis of Sequence Count Data

  Aug 23, 2018, Seminar Series in the Center of Statistical Genetics in the Department of Biostatistics at the University of Michigan

• Quantifying and Controlling for Sources of Technical Variation and Bias in Longitudinal Microbiome Surveys

  Jul 29, 2018, JSM 2018

• Statistical and Geometric Methods for the Analysis of Sequence Count Data

  Apr 4, 2018, University of Pennsylvania Statistics Seminar Series

• Geometric Methods for Modeling Time Evolution in Human Microbiota

  Mar 25, 2018, ENAR 2018 Spring Meeting

• Time-Series Models for Microbiome Data

  Jun 9, 2017, CoDAWork 2017

• Justin.Silverman@duke.edu