About Us

Sara Gottlieb-Cohen, PhD

StatLab Manager

Sara is the Manager of Statistical Support Services at Yale University and holds a PhD in cognitive psychology from the University of California, Berkeley. Her research interests fall at the intersection of psychology and philosophy and her graduate work investigated how people think about science and the limits of scientific knowledge. She holds expertise in experimental design and analysis, and has taught data analysis and statistics at the undergraduate and graduate level. She looks forward to helping patrons with a range of statistical and programming needs.

Software and computing: R, SPSS, Qualtrics, Excel, Mechanical Turk

Methodological topics: Hypothesis testing of all sorts (e.g., ANOVA, t-test, chi square), regression analysis, mixed-effects/hierarchical models, power analysis, experimental design, survey design, data wrangling, data visualization 

Spoken languages: English

Our Consultant Team

Our consultation team consists of graduate students from across Yale University.

Each consultant is able to discuss basic statistical and data analytic techniques. However, when you are looking for help with a specific program or topic, we encourage you to find the right consultant and check our schedule before you visit.

What expertise are you looking for?

Our consultants have a working knowledge of many techniques and tools. However, they also have expertise on specific tools and methodologies, do their own research in particular academic fields, and provide consultation services at different locations across campus.

Because of this, we suggest you find the best match for your particular needs before coming to one of our walk-in sessions. 

Please email statlab@yale.edu with questions about meeting with a specific consultant. Direct emails to consultants will not get a prompt reponse.

     Rosie Aboody

  • Department: Psychology
  • Software and Computing Topics: Excel, Python, Qualtrics, R, ggplot, MTurk
  • Methodological Topics: Basic parametric tests, regression analysis, mixed-effects/hierarchical models, power analysis, experimental design, ggplot, Amazon Mechanical Turk, Qualtrics, basic commands in Python and cluster computing/Yale HPC
  • Interests: Psychology, cognitive science
  • Spoken Languages: English

    Margret Erlendsdottir

  • Department: School of Medicine/Biostatistics 
  • Software and Computing Topics: R, SAS, LaTeX, Excel
  • Methodological Topics: Causal inference and study design in observational studies, regression modeling (generalized linear models, hierarchical/multilevel models, feature selection and penalized regression), survival analysis, machine learning, Bayesian inference, graphical models
  • Research Interests: Comparative effectiveness and causal inference in large clinical datasets, meta-analysis and creation of clinical guidelines, time-varying treatments and confounding, hypertension and cardiovascular medicine 
  • Spoken Languages: English

    Parker Holzer

  • Department: Statistics and Data Science
  • Software and Computing Topics: Python, R, SQL, LaTex, C++
  • Methodological Topics: Machine learning, dimensionality reduction, linear models, Bayesian inference, statistical hypothesis testing
  • Research Interests: Astrostatistics, physics, optimization, interpretable machine learning, approaches to unifying Bayesian and frequentist methodology
  • Spoken Languages: English

    Zhe (Gigi) Zheng

  • Department: Epidemiology of Microbial Diseases 
  • Software and Computing Topics: R, rjags, SAS, LaTex, Excel, Matlab, Python
  • Methodological Topics: Bayesian meta-regression, mathematical models, generalized linear models, mixed-effects/hierarchical models, spaciotemporal analysis, multivariate statistics, cost-effectiveness analysis, cluster computingYale HPC
  • Research Interests: Respiratory diseases, transmission dynamics models, spatiotemporal models, disease burden analysis, emerging infectious diseases, vaccine prioritization 
  • Spoken Languages: English, Chinese, Cantonese