Department of Statistics Unitmark
Dietrich College of Humanities and Social Sciences


Thesis Topics

Following is a list of students who recently received their Ph.D. degree from the department and where they were first employed.

2017

Longitudinal Conditionally Independent Dyad Models for Analyzing Networks over Time, Samrachana Adhikari; Department of Health Care Policy and Department of Biostatistics at Harvard Medical School

Methodological Innovations in the Collection and Analysis of Human Rights Violations Data, Jana Asher; American Association for Blood Banks

Statistical Inference using Geometric Features, Yen-Chi Chen; University of Washington

Characteristics of cross-validation methods for model selection in the stochastic block networks, Beau Dabbs; Lawrence Livermore National Laboratory

Constructing Approximately Sufficient ABC Summary Statististics, Michael Vespe; Capital One

Statistical Inference about Functional Connectivity from Multi-Neuron Data, Giuseppe Vinci; Post-doctoral position at Rice University

2016

Clustering Strategies for DNA Genotyping, Gaia Bellone

Statistical Inference for Topological Data Analysis Fabrizio Lecci; New York LIfe Insurance

High Dimensional Sparse Precision Matrix Estimation Shiqiong Huang; Citibank

A Bayesian Partitioning Approach to Duplicate Detection and Record Linkage Mauricio Sadinle; Duke University and the National Institute of Statistical Science

Duration Models, Mingyu Tang; Arxis Capital

Large-Scale Classification and Clustering Methods with Applications in Record Linkage Sam Ventura; Pittsbugh Penquins Hockey

A Method to Exploit the Structure of Genetic Ancestry Spaces to Enhance Case-Control Studies Corneliu Bodea

Network Comparisons Using Sample Splitting, Lawrence Wang;

Nonparametric Techniques for Functional Data Analysis, Mattia Ciollaro:

Understanding the Genetic Basis of Schizophrenia and other Mental Disorders by using RNA-Sequencing Data, Cong Lu; eBay-StubHub

2015

Geometric Approaches to Inference: Non-Euclidean Data and Networks, Dena Asta (joint Statistics and Engineering and Public Policy)

A Statistical Contribution to Historical Linguistics,  Rafael Stern

Computational and Statistical Advances in Testing and Learning Aaditya Ramdas - 2015 (joint Statistics and Machine Learning

Statistical Methods in Diffusion Connectomics Patrick Foley; Stitch Fix

Social Network Modeling and the Evaluation of Structural Similarity for Community Detection, Xiaolin Yang

Scalable Privacy-Preserving Data Sharing Methodologies for Genome-Wide Association Studies Fei Yu; Bell Labs

2014

Classification Via Auxiliary Information, Beatriz Estefania Etchegaray; IBM Research Postdoc

A Spectral Series Approach to High-Dimensional Nonparametric Inference, Rafael Izbicki; Assistant Professor, Dept of Statistics, Federal University of São Carlos, Brazil

Level Set Trees for Applied Statistics, Brian Kent; Dato

Local Log-Linear Models for Capture-Recapture, Zachary Kurtz; Marketing Data Scientist

Statistical Multi-coil MRI Reconstruction, Jionglin Liu; PNC Quantitative Analyst

The Efficacy of the Hedges Correction for Unmodeled Clustering, and Its Generalizations in Practical Settings, Nathan VanHoudnos; Postdoc, Northwestern University

Toward a Processing Pipeline for Two-Photon Calcium Imaging of Neural Populations, Bronwyn Woods; Software Engineering Institute, CMU

A New Parametric Model for the Point Spread Function (PSF) and Its Application to Hubble Space Telescope Data, Lubov Zeifman; University of Alaska

Statistically and computationally efficient inference from multi-neuron spike trains, Sonia Todorova; Google, New York

Spectral-HCT Approach for Clustering Problems in High Dimensional Data, Wanjie Wang; Post Doc, University of Pennsylvania

High Dimensional Statistical Analysis to Reveal the Genetic Basis of Autism, Li Liu

2013

Mixed Membership Distributions with Applications to Modeling Multiple Strategy Usage, April Galyardt; Assistant Professor, University of Georgia

Learning Spatio-Temporal Dynamics: Nonparametric Methods for Optimal Forecasting and Automated Pattern Discovery, Georg Matthias Goerg; Google, NY

New Statistical Applications for Differential Privacy, Robert Hall; Etsy

Comparing Data Sources in High Dimensions, Di Liu; Google, NY

Incorporating Learning Over Time into the Cognitive Assessment Framework, Cassandra Studer; WeddingWire

Statistical Network Models for Replications and Experimental Interventions, Tracy Morrison Sweet; Assistant Professor; University of Maryland

2012

High-Dimensional Adaptive Basis Density Estimation, Susan Buchman; Alcoa

Creation and Analysis of Differentially-Private Synthetic Datasets, Anne-Sophie Charest; Université Laval, Quebec, Canada

Using Dimension Reduction Techniques to Model Genetic Relatedness for Association Studies, Andrew Crossett; West Chester University

Clustering Trajectories in the Presence of Informative Monotone Missingness, Gabrielle Flynt; Assistant Professor, Bucknell University

Sequential Estimation and Detection in Statistical Inverse Problems, Darren Homrighausen; Assistant Professor, Colorado State University

Techniques for the Estimation and Prediction of Surface Segregation Occurring in Alloys, Gary Klein; SAS Institute

Generalization Error Bounds for State-Space Models, Daniel McDonald; Assistant Professor, Indiana University, Bloomington

Structured Sparsity, Daniel Percival; Google, New York

Behavioral Modeling of Botnet Populations Viewed Through Internet Protocol Address Space, Rhiannon Weaver; Software Engineering Institute, Carnegie Mellon University

2011

Longitudinal Mixed Membership Models with Applications to Disability Survey Data, Daniel Manrique; Post-doc, Duke University

Fast and Accurate Estimation for Astrophysical Problems in Large Databases, Joey Richards; Center for Time Domain Informatics, University of California, Berkeley

A Model of Limit-order Book Dynamics and a Consistent Estimation Procedure, Linqiao Zhao; PNC Bank

Detection of Bursts in Neuronal Spike Trains Using Hidden Semi-Markov Point Process Models, Judy Xi; PNC Bank

The Short Time Fourier Transform and Local Signals, Shuhei Okamura;

2010

Nonparametric Learning in High Dimensions, Han Liu; Assistant Professor, Princeton University

NPredicting Performance and Scaling Up Estimates of Student Skill Knowledge, Elizabeth Ayers; Post-doc, University of California, Berkeley

Adaptive Source Detection, David Friedenberg; Batelle Institute

Cues and Heuristics on Capitol Hill: Relational Models of Decision-Making in the U.S. Senate, Justin Gross; Assistant Professor, University of North Carolina, Chapel Hill

System-Oriented Characterization of the Human Visual System, Eric Huang; Biometric Research Branch, National Cancer Institute

Hyper Markov Non-Parametric Processes for Mixture Modeling and Model Selection, Daniel Heinz; CNA Insurance

Power Prediction in Large Scale Multiple Testing: A Fourier Approach, Avranil Sarkar; LinkedIn