Area of research
Statistics and Probability · Statistical and Nonlinear Physics
Research interest
Research interests include Complex Network Analysis Techniques, Advanced Causal Inference Techniques, Bioinformatics and Genomic Networks, and Bayesian Methods and Mixture Models.
Gut microbiome strain-sharing within isolated village social networks
Defining the Essential Function of Yeast Hsf1 Reveals a Compact Transcriptional Program for Maintaining Eukaryotic Proteostasis
Post-transcriptional regulation across human tissues
Asymptotic and finite-sample properties of estimators based on stochastic gradients
Detecting Network Effects
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)
A Model of Text for Experimentation in the Social Sciences
Defining the Essential Function of Yeast Hsf1 Reveals a Compact Transcriptional Program for Maintaining Eukaryotic Proteostasis
Steady-state and dynamic gene expression programs in<i>Saccharomyces cerevisiae</i>in response to variation in environmental nitrogen
A computational approach to map nucleosome positions and alternative chromatin states with base pair resolution
Reversible, Specific, Active Aggregates of Endogenous Proteins Assemble upon Heat Stress
Quantitative visualization of alternative exon expression from RNA-seq data
Accounting for Experimental Noise Reveals That mRNA Levels, Amplified by Post-Transcriptional Processes, Largely Determine Steady-State Protein Levels in Yeast
A natural experiment of social network formation and dynamics
Estimating cellular pathways from an ensemble of heterogeneous data sources
2015cited by 3position: last
Constant Growth Rate Can Be Supported by Decreasing Energy Flux and Increasing Aerobic Glycolysis
Musashi proteins are post-transcriptional regulators of the epithelial-luminal cell state
Sashimi plots: Quantitative visualization of alternative isoform expression from RNA-seq data
Musashi proteins are post-transcriptional regulators of the epithelial-luminal cell state
Estimating Selection on Synonymous Codon Usage from Noisy Experimental Data
Stochastic blockmodels with a growing number of classes
III: Medium: Design and analysis of experiments on networked populations
CAREER: Quantifying diffusion and dynamics on healthcare, innovation and communication networks
III: Medium: Design and analysis of experiments on networked populations
16th Meeting of New Researchers in Statistics and Probability, July 31- August 2, 2014
CAREER: Quantifying diffusion and dynamics on healthcare, innovation and communication networks
Collaborative proposal: Statistical methods for analyzing complexity and growth of large biological and information networks
III: Small: Representation, Modeling and Inference for Large Biological and Information Networks
Collaborative Research: Models for Network Evolution: A Study of Growth and Structure in the Wikipedia