Studying Comparative Human Development at the doctoral level means Gabriel has spent years designing studies, interpreting data sets, and running statistical analyses firsthand. He teaches statistics by grounding concepts like probability distributions, hypothesis testing, and regression in real research questions rather than abstract formulas. That practical lens makes the subject click for students who struggle with the textbook approach.

I am a graduate of Cornell University's College of Arts and Sciences. I received my Bachelor of Arts in Chemistry with Distinction in 2015. Since graduation, I was a physics/chemistry teacher and soccer coach at a private school in Virginia for a year, where I led the soccer team to an undefeated season. Before teaching and coaching professionally, I was a Teaching Assistant for the Cornell Math and Physics Departments, where I taught many subjects including calculus, mechanics, electromagnetism. Throughout my time at Cornell and as a teacher, I tutored subjects ranging from the SAT to AP Physics and Algebra II, which is where my true talents lie: in small group or one-on-one settings where I can give students the full attention they deserve and tailor my approach specifically to their learning styles. This is why I am now pursuing tutoring as a part-time occupation at Varsity Tutors. I embrace teaching all math and science subjects, especially physics and calculus, at both the college and high school level and will go above and beyond to make sure all of my students succeed, according to their definition of success. In my spare time, I enjoy playing league soccer, basketball, tennis and guitar, and also like to travel and see as much of the world as I can.

Sam's MS in Accounting means he spent graduate-level coursework knee-deep in statistical analysis — regression, variance, hypothesis testing — applied to financial data where getting the numbers wrong has real consequences. That applied background lets him teach statistics as a decision-making toolkit, walking students through concepts like probability distributions and measures of spread with concrete examples drawn from business and finance.

The jump from plugging numbers into a formula to actually interpreting what a p-value means or why a confidence interval matters — that's where most intro statistics students get lost. As a current graduate student in statistics, Evan teaches the reasoning behind hypothesis testing, probability distributions, and regression rather than just the mechanics. His 5.0 rating speaks to an ability to make abstract statistical concepts click.

Biomedical engineering research lives and dies by statistical analysis — hypothesis testing, regression models, confidence intervals, and knowing when a p-value actually means something. Lee brings that applied perspective to statistics tutoring, connecting each concept to how data is actually interpreted in published studies. Students walk away understanding not just the formulas but the reasoning behind choosing one test over another.

Brea is finishing her Master's in Analytics at the University of Chicago, which means she lives in data — probability distributions, hypothesis testing, regression models, and the messy real-world datasets that textbook problems only hint at. She bridges the gap between abstract formulas and practical interpretation, so students understand not just how to run a t-test but what the results actually mean. Rated 5.0 by students.

With a PhD in Mathematics and Computer Science, Irene brings the kind of theoretical depth to statistics that most tutors simply can't — she can derive the distributions students are asked to use, explain why the central limit theorem actually works, and connect probability theory to applied data analysis in a single conversation. That graduate-level perspective is especially valuable for students moving from introductory stats into more demanding coursework where formulas alone stop being enough. Rated 4.9 by students.

Sociology research runs on statistics, and Meagan's master's work gave her hands-on experience with data analysis — from calculating standard deviations to interpreting regression output and p-values. She teaches the reasoning behind each test, not just the formulas, so students can look at a dataset and know which tool actually fits the question.

An economics degree from the University of Chicago means Marvin didn't just take statistics — he lived in it, running regressions, interpreting economic data, and stress-testing models across multiple courses in one of the most quantitatively rigorous econ programs in the country. He teaches concepts like correlation, probability, and hypothesis testing by tying them back to the kinds of questions economists actually ask, which gives students a reason to care about the math.

I am a Molecular Engineering major at the University of Chicago, I am currently taking time off to focus on other aspects of my career but I don't want to stop tutoring outside college campus!. I am a child of immigrants and have spent my life tutoring my siblings and younger students, and I loved working with them! See y'all in class!

Training to become a high school math teacher means Konrad has spent significant time learning how to make abstract concepts click — and statistics is where that skill gets tested most, since students need to shift from computing answers to interpreting what those answers mean. He walks through topics like probability, data displays, and measures of spread by anchoring each one in the algebraic reasoning his math education students already bring to the table. Rated 5.0 by students.

Sareen's neuroscience and psychology research training meant designing experiments and analyzing data — the kind of work where picking the wrong statistical test or misreading a confidence interval can sink an entire study. She brings that precision to teaching concepts like variability, sampling distributions, and hypothesis testing, connecting each one to the research questions that make them necessary. Rated 5.0 by students.

Knowing when to use a t-test versus a chi-square test — and why — is the kind of decision-making that separates students who understand statistics from those just following formulas. Anthony taught AP Statistics and approaches probability distributions, hypothesis testing, and confidence intervals through guided discovery, letting students reason through problems before introducing formal notation. He holds a BS in mathematics from UIC.

Computer science training means Charles spent real time with discrete probability, combinatorics, and data analysis before ever labeling them "statistics" — so he teaches concepts like expected value and distributions with the algorithmic clarity of someone who's actually coded simulations around them. That logical, step-by-step mindset translates well when students need to move from raw formulas to understanding what a hypothesis test is really asking.

I'm a rising Junior at the University of Chicago studying Computational Neurosciences and Fundamentals: Literature & Philosophy. I've tutored 7th and 8th graders in Basic Algebra and essay construction and taught undergraduates Biostatistics and the literature of Valdimir Nabokov, so I'm prepared to work with any age or skill level. When I'm not tutoring this summer, I'll be doing electrophysiological research at NYU's Center for Neural Science and preparing to write my BA on James Joyce's Ulysses. I'm extremely versatile with expertise in a range of subjects and really enjoy helping students learn. I also excel at standardized testing and am excited to share the strategies that made me successful. In my free time, some of my favorite things to do are act, play guitar, and bike along the river.

I am eager to help students wrestle with and master concepts in their math and physics classes. I have extensive experience tutoring students in both math and physics at the high school and college level in one on one and larger group settings. During my PhD I was awarded a teaching fellowship which allowed me to continue teaching while I continued to perform research and carry out my dissertation work.

I am a graduate of Oberlin College where I studied Jazz Bass Performance and Economics. I am also a member of the Phi Beta Kappa Academic Honors Society.