CIR Consultants & Hours

Center for Interdisciplinary Research
CIR Consultants & Hours

Statistics students who are Fellows in the Center for Interdisciplinary Research hold office hours for statistical consulting in Regents 207 (the CIR office). Consulting hours are on Sundays through Fridays. To meet the consultants please choose the CIR Fellow listed to the right.
Any faculty member or staff member who has questions about statistics related to their research or other work are welcome to drop-in during office hours. You may also refer students who are working on independent research projects, capstone projects, or semester-long class projects to visit with data analysis questions. Please note, however, that by the terms of our grant from the NSF, the CIR Fellows cannot provide tutoring assistance; students with statistical questions from regular coursework should contact the Academic Support Center or visit the stat help clinics instead.

Yuzi Mi ’23
Majors: Mathematics, Economics
Concentration: Statistics and Data Science
Statistics courses taken: Stat 212 – Statistics for the Sciences, Stat 272 – Statistical Modeling, Stat 322 – Statistical Theory, MSCS 264 – Introduction to Data Science, MSCS 341 – Algorithms for Decision Making
Statistical Software Knowledge: R studio; Python; Mathematica
My favorite thing about Stats and Data Science: Dealing data makes me happy.
The best insight I was ever given about Stats and Data Science: We can use probability theory to proof statistical concepts.

Jazmine Sun ’22
Major: Mathematics
Concentration: Statistics and Data Science
Statistics courses taken: Stat 272 – Statistical Modeling, Stat 316 – Advanced Statistical Modeling, Stat 322 – Statistical Theory, MSCS 264 – Introduction to Data Science, MSCS 341 – Algorithms for Decision Making
Statistical Software Knowledge: R, a little bit in Python and SAS
My favorite thing about Stats and Data Science: Figuring out how to clean data.
The best insight I was ever given about Stats and Data Science: I’m amazed that I learned multi level model in STAT 316.

Ben Anderson ‘22
Major: Biology
Concentration: Statistics and Data Science
Statistics courses taken: Stat 212 – Statistics for the Sciences, Stat 272 – Statistical Modeling, MSCS 264 – Introduction to Data Science, MSCS 341 – Algorithms for Decision Making
Statistical Software Knowledge: R
My favorite thing about Stats and Data Science: The ability to convey tons of important information
The best insight I was ever given about Stats and Data Science: I was told that learning how to do stats in R was important to not only be able to run your own analysis and correctly interpret the results but to also convey the information.

Noah Johnson ‘22
Major: Mathematics
Concentrations: Statistics and Data Science
Statistics courses taken: Stat 212 – Statistics for the Sciences, Stat 272 – Statistical Modeling, MSCS 264 – Introduction to Data Science, MSCS 341 – Algorithms for Decision Making
Statistical Software Knowledge: R, some Python, some Mathematica
My favorite thing about Stats and Data Science: Being able to answer any question that peaks your interest.
The best insight I was ever given about Stats and Data Science: There is no right way, as long as it works.

Lucia Ranallo ‘22
Major: Biology
Concentrations: Statistics and Data Science, Mathematical Biology
Statistics courses taken: Stat 212 – Statistics for the Sciences, Stat 272 – Statistical Modeling, MSCS 264 – Introduction to Data Science, MSCS 341 – Algorithms for Decision Making
Statistical Software Knowledge: R
My favorite thing about Stats and Data Science: The ability to be able to communicate complicated/quantitative results in an easy to read, colorful, and concise visual!
The best insight I was ever given about Stats and Data Science: In most cases, less is more.

Marco Ruiz ‘22
Major: Mathematics
Concentration: Statistics and Data Science
Statistics courses taken: Stat 212 – Statistics for the Sciences, Stat 272 – Statistical Modeling, MSCS 264 – Introduction to Data Science, MSCS 341 – Algorithms for Decision Making
Statistical Software Knowledge: R
My favorite thing about Stats and Data Science: Exploratory data analysis and data visualization.
The best insight I was ever given about Stats and Data Science: If you don’t know what changing a piece of code does in R, just hit enter and look at the output. You can always undo errors in your code.

Kaya Gendreau ‘23
Major: Majors: Math, Economics, French.
Concentrations: Stats and Data science, Environmental Studies, Math Biology
Statistics courses taken: Stat 272 – Statistical Modeling, Stat 322 – Statistical Theory, MSCS 264 – Introduction to Data Science
Statistical Software Knowledge: R
My favorite thing about Stats and Data Science: The problem solving aspect and rewarding nature of it.
The best insight I was ever given about Stats and Data Science: To break the problem up into chunks.

Bryce Gmyrek ‘22
Major: Mathematics
Concentrations: Statistics and Data Science
Statistics courses taken: Stat 212 – Statistics for the Sciences, Stat 272 – Statistical Modeling, Stat 322 – Statistical Theory, MSCS 264 – Introduction to Data Science, MSCS 341 – Algorithms for Decision Making
Statistical Software Knowledge: R, Tableau
My favorite thing about Stats and Data Science: Problem solving involved in coding in R.
The best insight I was ever given about Stats and Data Science: Don’t forget to look at your data with some EDA before starting build models.

Clare McDonald ‘22
Major: Psychology, Spanish
Concentration: Statistics and Data Science
Statistics courses taken: Stat 270 – Statistics for Social Science Research, Stat 272 – Statistical Modeling, Stat 316 – Advanced Statistical Modeling, MSCS 264 – Introduction to Data Science
Statistical Software Knowledge: R, SPSS
My favorite thing about Stats and Data Science: Getting to investigate and answer research questions using real world data!
The best insight I was ever given about Stats and Data Science: Statistics and data science is all about telling a story about your data using words, models, and visualizations.

Noah Elbaor ‘23
Major: Quantitative Economics
Concentrations: Statistics and Data Science, International Relations
Statistics courses taken: Stat 272 – Statistical Modeling, MSCS 264 – Introduction to Data Science, STAT 282 – Spatial Data Analysis, ECON 260 – Intro to Econometrics
Statistical Software Knowledge: R, Stata
My favorite thing about Stats and Data Science: The ability to make obvious the unobvious.
The best insight I was ever given about Stats and Data Science: “All models are wrong, some models are useful.”

Gabe Smith ‘23
Major: Psychology
Concentration: Statistics and Data Science, Neuroscience
Statistics courses taken: Stat 212 – Statistics for the Sciences, Stat 270 – Statistics for Social Science Research, Stat 272 – Statistical Modeling, Stat 316 – Advanced Statistical Modeling, MSCS 264 – Introduction to Data Science
Statistical Software Knowledge: R, primarily within the Tidyverse
My favorite thing about Stats and Data Science: Creating the perfect visualization
The best insight I was ever given about Stats and Data Science: Google is your friend

Grace Lofstrom ’22 – More information to come.

Alexander Matoushek ‘23
Major: Mathematics, Economics
Concentration: Statistics and Data Science
Statistics courses taken: Stat 272 – Statistical Modeling, MSCS 264 – Introduction to Data Science
Statistical Software Knowledge: Strong with R
My favorite thing about Stats and Data Science: The ability to answer questions using numbers and trends.
The best insight I was ever given about Stats and Data Science: Was in my first class in the department when Professor Roback said you should approach problems piece by piece, rather than trying to do the whole thing at once.

Caleb Griffiths ‘23
Major: Mathematics
Concentration: Statistics and Data Science
Statistics courses taken: Stat 212 – Statistics for the Sciences, Stat 272 – Statistical Modeling, MSCS 264 – Introduction to Data Science
Statistical Software Knowledge: Strong knowledge in R
My favorite thing about Stats and Data Science: Working with data to find illuminating patterns indicating things you might not expect.
The best insight I was ever given about Stats and Data Science: It has application in nearly any field, so you can combine your love for data with other passions!

Chanjin Park ‘23
Majors: Computer Science, Mathematics
Concentration: Statistics and Data Science
Statistics courses taken: Stat 212 – Statistics for the Sciences, Stat 272 – Statistical Modeling, MSCS 264 – Introduction to Data Science, MSCS 341 – Algorithms for Decision Making
Statistical Software Knowledge: Intermediate & Advanced
My favorite thing about Stats and Data Science: I love to see beautiful data visualization and make models to predict something.
The best insight I was ever given about Stats and Data Science: Based on the past data, predicting some output in the future is amazing task.

Claire Wu ‘22
Major: Mathematics
Concentrations: Statistics and Data Science
Statistics courses taken: Stat 110 – Principles of Statistics, Stat 212 – Statistics for the Sciences, Stat 272 – Statistical Modeling, Stat 322 – Statistical Theory, MSCS 264 – Introduction to Data Science, MSCS 341 – Algorithms for Decision Making, MSCS 390 – Mathematics Practicum
Statistical Software Knowledge: R, Python
My favorite thing about Stats and Data Science: There is more data available than ever before. For those that are curious about anything and everything, it’s just an exciting time to be alive
The best insight I was ever given about Stats and Data Science: Data science has so much influence over people’s lives. Data scientists have an obligation to always consider the ethical implications of their works.

Belkys Arbizu ‘22
Major: Mathematics and Quantitative Economics
Concentration: Statistics and Data Science
Statistics courses taken: Stat 212 – Statistics for the Sciences, Stat 272 – Statistical Modeling, Stat 322 – Statistical Theory, MSCS 264 – Introduction to Data Science, MSCS 341 – Algorithms for Decision Making
Statistical Software Knowledge: Stata and R
My favorite thing about Stats and Data Science: Data visualizations and cleaning.
The best insight I was ever given about Stats and Data Science: Data wrangling

Emma Dougherty ‘22
Major: Philosophy, Music
Concentrations: Statistics and Data Science, Gender and Sexuality Studies
Statistics courses taken: Stat 270 – Statistics for Social Science Research, Stat 272 – Statistical Modeling, Stat 316 – Advanced Statistical Modeling, MSCS 264 – Introduction to Data Science
Statistical Software Knowledge: R
My favorite thing about Stats and Data Science: Making visualizations!
The best insight I was ever given about Stats and Data Science: Never underestimate the value of online resources!