Our Consultant Team

The StatLab consultant team is made up of staff and graduate students from across Yale University.

Each of consultants is able to discuss basic statistical analysis and data analysis techniques. However, when you are looking for help with a specific topic or in a particular program, we encourage you to find the right consultant before you come.

What expertise are you looking for?

Our consultants have a working knowledge of many techniques and tools. However, they also have a particular focus on specific tools and methodologies, they do their research in particular academic fields, and they work out of different locations on campus.

Because of this, we suggest you find the best match for your need before coming to our Walk-In Help sessions. Use the buttons below to find that match.

Kevin Anderson

Picture of StatLab consultant Kevin Anderson
Department: Psychology
Software & Computing Topics: Excel, MATLAB, Python, Qualtrics, R, SPSS, fMRI; bash/unix; AFNI; SPM; FSL; Freesurfer; Blender; PsychoPy; RShiny
Methodological Topics: Experimental Design, regression, linear mixed effects analysis, ggplot, task/resting-state/structural MRI, limma, edgeR, graph theory, network analysis, RNAseq/microarray analysis, general API interfaces, text/web scraping, eQTL, adobe illustrator, numpy, scipy, human connectome project tools/data vis., ANOVA, plink, gene imputation, heritability analyses, OpenMx
Interests: Psychology, Neuroscience, Genetics
Spoken Languages: English
See Kevin's Walk-In Help Session availability

Jialu Chen

Picture of StatLab consultant Jialu Chen
Department: Economics
Software & Computing Topics: Excel, LaTeX, MATLAB, Stata, MySQL, Tableau
Methodological Topics: Regression analysis, agent-based modeling, time-series data analysis, game theoretic modeling, evolutionary modeling, microeconomic modeling
Interests: financial institutional evolution, financial history, microeconomic modeling of financial architecture
Spoken Languages: English, Chinese, French
See Jialu's Walk-In Help Session availability

Henry Glick

Picture of StatLab consultant Henry Glick
Department: Forestry and Environmental Studies (FES)
Software & Computing Topics: ArcGIS, Excel, Python, QGIS, R, ENVI, Google EarthEngine, AWS, ModelBuilder
Methodological Topics: GIS, remote sensing, UAV image processing, map algebra, regression analysis, spatial statistics, distributive/parallel computing, cartography
Interests: Spatial analysis of all flavors, environmental modeling, big data, forest biomass
Spoken Languages: English
See Henry's Walk-In Help Session availability

Mengting Gu

Picture of StatLab consultant Mengting Gu
Department: Computational Biology, Bioinformatics
Software & Computing Topics: Excel, LaTeX, MATLAB, Python, R, C, Perl, ggplot
Methodological Topics: Regression, Statistical tests, Genomics analysis, Machine learning methods, eQTL
Interests: ENCODE project. Human genomics. Brain function and genomics
Spoken Languages: English, Mandarin Chinese
See Mengting's Walk-In Help Session availability

Elena Khusainova

Picture of StatLab consultant Elena Khusainova
Department: Statistics and Data Science
Software & Computing Topics: LaTeX, Python, R, shiny, jupyter notebooks
Methodological Topics: Data scraping (R, Python), vizualization (ggplot, grid, shiny, ggviz), random forests
Interests: Respondent driven sampling, spectral methods, random matrices
Spoken Languages: English, Russian
See Elena's Walk-In Help Session availability

David Melnikoff

Picture of StatLab consultant David Melnikoff
Department: Psychology
Software & Computing Topics: Excel, Qualtrics, R, SAS, SPSS, MultiTree, MouseTracker, Inquisit, MTurk, Qualtrics
Methodological Topics: Experimental Design, Reaction Time, Mouse Tracking, Surveys
Interests: Psychology, Cognitive Science
Spoken Languages: English
See David's Walk-In Help Session availability

Kyle Peyton

Picture of StatLab consultant Kyle Peyton
Department: Political Science
Software & Computing Topics: LaTeX, MATLAB, Qualtrics, R, Stata, Amazon Mechanical Turk, Stan
Methodological Topics: Design and analysis of experiments (survey, lab, and field), data visualization, bayesian statistics, computational modeling
Interests: Political Behavior, Design and Analysis of Experiments
Spoken Languages: English
See Kyle's Walk-In Help Session availability

Maile Phillips

Picture of StatLab consultant Maile Phillips
Department: Epidemiology of Microbial Diseases (School of Public Health)
Software & Computing Topics: ArcGIS, Excel, Python, R, SAS, Stata, JAGS, Stan, SaTScan
Methodological Topics: Regression analysis, mixed-effect/hierarchical models, ANOVA, longitudinal data analysis, time-series analysis, survival analysis, Bayesian statistics, variable selection, MCMC, imputation, causal inference, SIR (susceptible, infectious, recovered) compartmental models
Interests: Infectious disease epidemiology, mathematical modeling, biostatistics, dynamic models
Spoken Languages: English, Spanish
See Maile's Walk-In Help Session availability

Fabian Schellhaas

Picture of StatLab consultant Fabian Schellhaas
Department: Psychology
Software & Computing Topics: Excel, Qualtrics, R, SPSS, ggplot, MTurk, Amos, G*Power, Python (basics)
Methodological Topics: regression, linear mixed effects modeling, ANOVA, moderation/mediation analyses, structural equation modeling, factor analysis, data viz (ggplot), data processing, experimental design, survey design, crowdsourcing, meta-analysis
Interests: Social identity, intergroup bias, collective action, applied social science
Spoken Languages: English, German, Dutch, French
See Fabian's Walk-In Help Session availability

Kayoko Shioda

Picture of StatLab consultant Kayoko Shioda
Department: Epidemiology of Microbial Diseases (School of Public Health)
Software & Computing Topics: Excel, R, SAS, RShiny, ggplot, JAGS, MS Access
Methodological Topics: Regression analysis; generalized linear models; mixed-effect models; anova; longitudinal data analysis; propensity score matching; time-series analysis; hierarchical models; Bayesian statistics; variable selection; penalized regressions; basic machine learning; bagging & boosting; study design; MCMC (Gibbs, Metropolis-Hasting); Markov chains; imputation; cross validation; DAGs; survival analysis; graphical models; web scraping; API; cohort study; case control study; meta analysis; sensitivity specificity analysis; disease surveillance data; outbreak data; disease incidence; receiver operating characteristic; factor analysis (PCA); causal inference
Interests: Clinical research, infectious disease epidemiology, vaccine program evaluation, dynamic models
Spoken Languages: English, Japanese
See Kayoko's Walk-In Help Session availability