2019:
- Alex Gui (2019): “Local Prediction Confidence for Classification Random Forests“; Currently: MS candidate, Stanford University, Statistics: Data Science
- Frances Hung (2019): “Active Learning Experimental Design of Bayesian Networks“; Currently: PhD candidate, Duke University, Statistics
- Vedant Vohra (2019): “Estimating the proportion who benet from a treatment in a Randomized Controlled Trial“; Currently: Empirical Research Fellow at Stanford Law School
- Justin Weltz (2019): “Over-Policing and Fairness in Machine Learning“; Currently: PhD candidate, Duke University, Statistics
- Christina Duron (2019, PhD CGU): “The Distribution of Betweenness Centrality in Exponential Random Graph Models“; Currently: postdoc, University of Arizona, Mathematics
2018:
- Chris Barnes (2018): “Artistic Style Transfer using Deep Learning“; Currently: Analyst, KKR & Co. L.P.
- Kalyan Chadalavada (2018): “Partial Least Squares Regression in Football Projections“; MS, Tulane University, Pharmacology
- Luis Espino (2018): “Racism without a Face: Predictive Statistics in the Criminal Justice System“; Currently: Technology Associate, fwd.us, Community Department.
- Kashvi Tibrewal (2018): “Evaluating Splitting Criteria in Classification Trees“;
2017:
- Benji Lu (2017): “Constructing Prediction Intervals for Random Forests”; Ph.D. candidate, UC Berkeley, Statistics
- Maria Martinez (2017): “The EM algorithm and RNA sequencing”; Currently: Software Engineer, Intuit
- Yenny Zhang (2017): “Integrating Random Forests into the Bag of Little Bootstraps”; Currently: Data Engineer, Factual Inc
2016:
- Isaiah Boone (2016): “SVM and the Application of Prediction Rules”; Currently: Associate, Leonard Green & Partners
- John Bryan (2016): “Developing Inference Frameworks for Random Forests Using Bag of Little Bootstraps and Related Methods”; M.D. candidate, Northwestern University Feinberg School of Medicine
- Ciaran Evans (2016): “Normalization of RNA-Seq data in the case of asymmetric differential expression”; Ph.D. candidate, Carnegie Mellon University, Statistics
- Dylan Quantz (2016): “Analyzing Centrality in Complex Gene Networks”; Currently: Player Development Trainee, Atlanta Braves
2015:
- Rebecca Baiman (2015): “A Critical Comparison of Mathods in Statistical Inference Education”; Masters of Education 2017, Math Secondary Education, Vanderbilt University; Currently: Teacher, Metro Nashville Public Schools
- Jacob Fiksel (2015): “Differential Gene Expression Analysis with Microarray and RNA-seq Data”; Ph.D. Candidate, Johns Hopkins Bloomberg School of Public Health, Biostatistics
Jacob’s blog (about grad school and data science, among other things)
- Chris Garnatz (2015): “Trusting the Black Box: Confidence with Bag of Little Bootstraps”; Currently: Independent Consultant, Techstyles Sportsware
- Caroline Zaia (2015): “Multilevel Regression in Value Added Modeling for Teacher Assessment”; Currently: Planning Analyst, Stitch Fix
2014:
- Maricela Cruz (2014): “Long-term Averages of the Stochastic Logistic Map”; Ph.D. candidate, University of California, Irvine, Statistics
- Thalia Rodriguez (2014): “Towards a More Conceptual Way of Understanding and Implementing Inferential Rules”; M.A. in Teaching 2016, the University of Southern California Rossier School of Education; Currently: Mathematics Teacher, Santa Ana Unified School District
- Brian Williamson (2014): “Shrinkage Estimators for High-Dimensional Covariance Matrices”; Ph.D. candidate, University of Washington, Biostatistics
2013:
- Melinda Borello (Pitzer, 2013): “Standardization and Singular Value Decomposition in Canonical Correlation Analysis”;
- Jacob Coleman (2013): “Robust Sparse Canonical Correlation Analysis and PITCHf/x”; Ph.D. 2018, Duke University, Statistics
- Karl Kumbier (2013): “Detecting and Estimating Filamentary Structures in the Presence of Background Noise”; Ph.D. candidate, UC Berkeley, Statistics
- Guy Stevens (2013): “Bayesian Statistics and Baseball” ; Currently: Director, Baseball Administration/Quantitative Analysis, Kansas City Royals
- Yuanxi Zhang (2013): “How Does a Bayesian Investor Time the Market”; M.S. 2018, U Chicago, Economics
2012:
- Tim Stutz (2012): “Modeling the Evolution of Sexual Diploid Populations via a Stochastic Moran Process”; Ph.D. candidate, UCLA, Biomathematics
2011:
- Kate Brieger (EA, independent study, 2011): “The Evolution of Statistics in Medicine” ; M.D. / Ph.D. candidate, University of Michigan, Biostatistics
- Christine Ju (Scripps, 2011): “Determining Overrepresentation of Gene Ontology Terms using the Hypergeometric Distribution”; M.S. 2013, Duke, Biostatistics; Currently: Senior Biostatistician, Roche Sequencing Solutions
2010:
- Minsoo Kim (2010): “Statistical Classification”; M.S. 2015, U Georgia, Statistics; Currently: Scientific Computing Professional Associate, Carl Vinson Institute of Government
- Mary Owen (2010): “Tukey’s Biweight Correlation and the Breakdown”; Currently: Pastry Cook, Marta
- Mark Simon (2010): “Randomly Generating Computationally Stable Correlation Matrices”; Currently: Financial Analyst, Taal Capital Management
2009:
- Patrick Kimes (2009): “Understanding q-values as a More Intuitive Alternative to p-values”; Ph.D. 2015 (“New Statistical Learning Approaches with Applications to RNA-Sequencing Data.” Advisor: J.S. Marron), UNC, Statistics; Currently: Post-doctoral fellow, Dana-Farber Cancer Institute / Harvard School of Public Health
- Alison Kosel (2009): “Simulating Correlated Multivariate Normal Data”; Ph.D. 2016 (“Local Estimation of Patient Prognosis”), U Washington, Biostatistics; Currently: Data Scientist, Facebook
- Daniel Scinto (2009): “Stock Ranking and Portfolio Selection: Revising and Developing Z-scores“; Currently: Senior Portfolio Manager, BFAM Partners
2008:
- Brianna Pasco (Scripps, Dec 2008): “A Basic Introduction and Comparison of Linear Discriminant Analysis and Support Vector Machines”
- Nick Conway (2008): “A Resistant Measure of Distance in DNA Microarrays”
- Austen Head (2008): “Correlation Correction of Sample Measures from Bivariate Distributions”; Ph.D. 2014, Stanford, Statistics; Currently: Senior Data Scientist, Quid
- Robert Kurtzman (2008): “The Advantages of a Biweight Metric in Clustering Microarray Data”; Ph.D. 2015, UCLA, Economics; Currently: Senior Economist, Federal Reserve Board
2007:
- Jeffery Joe Nanda (2007): “Correcting for Bias in Correlation Coefficients Due to Intraindividual Variability”; MBA 2011, Stanford; Currently: Investment Manager, IFC Asset Management Company
- Andrea Vijverberg (2007): “Clustering Microarray Data”; M.S. Computational Finance 2008; Currently: FX Options Trader, Bunge
- Jonathan Buster Zalkind (2007): “Four Colors is not Enough: Visualizations of Simulated Spatial-Model Elections Under Different Voting Methods”
2006:
- Aya Mitani (Pitzer, 2006): “Biweight Correlation as a Measure of Distance between Genes on a Microarray” (abstract, presentation); MPH 2008, Yale, Biostatistics; Ph.D. 2019, Boston University, Biostatistics; Currently: postdoc with Sebastien Haneuse, Harvard Biostatistics
2005:
- Joseph Richards (2005): “Classification of Geologic Units on Ganiki Planitia Quadrangle (V14) Venus Using Statistical Clustering Methods”, Ph.D. 2010, Carnegie Mellon University, Statistics; Currently: VP – Data & Analytics, GE Digital
- Alison Wise (2005): “Statistical Analysis of Microarrays to Determine Genetic Changes in Aging Yeast”; Ph.D. candidate, UNC, Biostatistics
2004:
- Lee (Strassenburg) Shanahan (Dec 2004): “A Statistical Comparison of the Average Waiting Times Between Flares in Lupus Patients”, Currently: Innovation Consultant, American Family Insurance
2003:
- Veronica (Montes De Oca) Aispuro (2003): “Methods for Evaluating Health Care Claims Data” (an application of Bootstrapping); Ph.D. 2008, University of California, Riverside, Applied Statistics; Currently: Senior Healthcare Economic Consultant, UnitedHealthcare Medicare & Retirement
