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M.S. in Biostatistics | Statistics, Math & STEM Tutor
Owen X.

5.0 (82 ratings)

233 hours tutoring

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About Owen

Bio

I have 3 years of experience tutoring students at both the high school and university levels. As a Graduate Student Instructor, I taught college students in statistics coursework through one-on-one office hours. During my undergraduate studies, I also tutored high school students in math and other STEM subjects. These experiences allow me to tailor my teaching approach to students with different backgrounds and levels of preparation.

I graduated from the University of Michigan with a...

I have 3 years of experience tutoring students at both the high school and university levels. As a Graduate Student Instructor, I taught college students in statistics coursework through one-on-one office hours. During my undergraduate studies, I also tutored high school students in math and other STEM subjects. These experiences allow me to tailor my teaching approach to students with different backgrounds and levels of preparation.

I graduated from the University of Michigan with a Master's degree in Biostatistics, where I developed a strong foundation in statistics and data science. My graduate training includes both statistical theory and practical computing using R, Python, and C++. I have also received training in advanced topics such as Bayesian methods, clinical trial design, and machine learning.

My educational background across different countries has also shaped my teaching style. I completed my high school education in China and ranked among the top 0.5% of students in the national college entrance examination. Experiencing different education systems has given me a broader perspective on learning and teaching. My earlier education provided me with a strong quantitative foundation and problem-solving skills, while my graduate training strengthened my ability to communicate complex ideas clearly.

Throughout my tutoring experience, I have noticed that many students find maths and statistics challenging because these subjects are often presented as abstract formulas to memorize. My approach is to break down complex concepts into intuitive explanations and connect them with real-world applications. My goal is not only to help students improve their grades, but also to build their confidence in quantitative thinking. When students fully understand why a method works, they become more independent learners and better prepared for future academic and professional challenges. Please contact me on Wyzant if you need help. I look forward to working with you and helping you achieve your goals.

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Education

Renmin University of China
Chemistry
University of Michigan
Masters

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Approved Subjects

ACT Math

ACT Math

I have a strong quantitative background through my M.S. in Biostatistics from the University of Michigan. I also scored 170/170 on GRE Quantitative Reasoning, which reflects my strong foundation in the mathematical skills tested on standardized exams. I’m comfortable teaching ACT Math topics including algebra, functions, geometry, and probability. My goal is to break down challenging problems into clear, manageable steps and help students develop efficient strategies for solving questions accurately under time pressure.
Algebra 1

Algebra 1

I have a strong quantitative background through my M.S. in Biostatistics from the University of Michigan, with extensive training in mathematics and statistics. I’m comfortable helping students with Algebra 1 topics such as equations, inequalities, functions, graphing, systems of equations, and polynomials. My teaching style focuses on breaking problems down into clear, manageable steps and helping students understand the reasoning behind each method rather than simply memorizing formulas.
Algebra 2

Algebra 2

I have a strong quantitative background through my M.S. in Biostatistics from the University of Michigan, with extensive training in mathematics and statistics. I’m comfortable helping students with Algebra 2 topics such as polynomial functions, logarithmic relations, and complex numbers. My teaching style is to break problems down into clear, manageable steps and help students understand the reasoning behind each method rather than simply memorize formulas.
Biostatistics

Biostatistics

I recently earned my M.S. in Biostatistics from the University of Michigan, with extensive training in both theoretical and applied statistics. My graduate coursework included advanced topics such as Bayesian statistics, stochastic processes, clinical trial design, survival analysis, and statistical modeling. I also have hands-on experience applying these methods to real-world clinical, genomic, and biomedical data using R and Python. I enjoy breaking down complex statistical concepts into clear, intuitive explanations and tailoring lessons to each student’s background and goals.
Data Science

Data Science

I earned my M.S. in Biostatistics from the University of Michigan through the Data Science track, with extensive training in statistics, programming, and data analysis. I have 6+ years of experience using R and Python for data analysis, statistical modeling, and research projects. My coursework also included machine learning, Bayesian statistics, statistical inference, and other advanced data science topics. I enjoy helping students connect statistical concepts with practical programming and data analysis skills, and can tailor lessons to their coursework or projects.
Elementary Math

Elementary Math

I have a strong foundation in mathematics through my M.S. in Biostatistics and extensive experience working with quantitative problems. I enjoy breaking down mathematical concepts into simple, easy-to-understand steps and helping students build confidence with problem-solving. I can help students with core elementary math skills such as arithmetic, fractions, decimals, percentages, basic geometry, and word problems. I’m happy to adjust my explanations and pace to each student’s level and learning style.
GMAT

GMAT

I scored 170/170 on GRE Quantitative Reasoning back in 2021. Since then, I have continued to work extensively with mathematics, statistics, and quantitative problem-solving through my M.S. in Biostatistics. I genuinely enjoy sharing the strategies and ways of thinking that helped me succeed, especially when I can help a student turn a problem that initially seems difficult into something straightforward. As a former test taker, I hope to share not just the answers, but the practical knowledge and experience that can make test preparation more effective and less stressful.
GRE

GRE

I scored 170/170 on GRE Quantitative Reasoning back in 2021. Since then, I have continued to work extensively with mathematics, statistics, and quantitative problem-solving through my M.S. in Biostatistics. I genuinely enjoy sharing the strategies and ways of thinking that helped me succeed, especially when I can help a student turn a problem that initially seems difficult into something straightforward. As a former test taker, I hope to share not just the answers, but the practical knowledge and experience that can make test preparation more effective and less stressful.
Machine Learning/ AI

Machine Learning/ AI

I earned my M.S. in Biostatistics from the University of Michigan through the Data Science track. I also took a Machine Learning course through the EECS department, where I received an A and gained hands-on experience with machine learning methods. My background combines statistical modeling, programming, and data analysis, which helps me approach machine learning from both theoretical and practical perspectives. I enjoy explaining machine learning concepts clearly and helping students apply them to real-world data and projects.
Physics

Physics

I have a strong quantitative background through my M.S. in Biostatistics from the University of Michigan. My background gives me a solid foundation for understanding and explaining the mathematical concepts used in physics. I enjoy breaking down challenging problems into clear, manageable steps and helping students understand the reasoning behind each solution.
Probability

Probability

I have a strong background in probability through my M.S. in Biostatistics and extensive coursework in probability and statistics. I’m comfortable explaining both fundamental concepts and more challenging topics, including conditional probability, distributions, expectation, and statistical inference. I enjoy breaking down difficult problems into clear, manageable steps and helping students develop an intuitive understanding of probability rather than simply memorizing formulas. I’m happy to tailor my approach to each student’s background and goals.
Python

Python

I have 4+ years of experience using Python for data analysis, statistical computing, and research projects. Through my M.S. in Biostatistics at the University of Michigan, I have used Python alongside R to work with real-world biomedical and quantitative datasets. I am comfortable with data manipulation, visualization, statistical analysis, and writing reproducible analysis workflows in Python. I enjoy helping students learn Python through practical examples and can tailor lessons to their coursework, projects, or specific goals.
R

R

I have over 6 years of experience using R for statistical analysis. I recently earned my M.S. in Biostatistics from the University of Michigan, where I used R extensively for coursework and research. I am comfortable working with data from start to finish, including data cleaning, visualization, statistical analysis, and creating reproducible workflows. I enjoy helping students learn R in a practical way and can tailor lessons to their coursework, projects, or specific analysis needs.
SAT Math

SAT Math

I have a strong quantitative background through my M.S. in Biostatistics from the University of Michigan. I also scored 170/170 on GRE Quantitative Reasoning, which reflects my strong foundation in the mathematical skills tested on standardized exams. I’m comfortable teaching SAT Math topics such as algebra, geometry, and data analysis. My goal is to break down challenging problems into clear, manageable steps and help students develop efficient strategies for solving questions accurately under time pressure.
Statistics

Statistics

I recently earned my M.S. in Biostatistics from the University of Michigan, with extensive training in statistics, probability, and data analysis. I am very comfortable teaching AP Statistics, including confidence intervals, hypothesis testing, and regression. I can explain these topics clearly and intuitively, helping students understand the ideas behind the formulas rather than simply memorizing procedures. For students who want to go beyond the AP curriculum, my graduate coursework in statistical inference, Bayesian statistics, stochastic processes, and clinical trial design provides a strong foundation for exploring more advanced topics. I’m happy to adjust the depth and pace of lessons to each student’s needs and goals.
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Ratings and Reviews

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5.0 (82 ratings)
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Reviews

Knowledgeable and efficient tutor

Owen is very patient, kind and efficient. He went through course materials and course power points in advance and came to the lesson prepared and ready. We worked on a practice test, and he said for me to see if my professor provided any samples for how a written memo should be produced, he was exactly right! The professor had provided samples I was just too overwhelmed to remember. He has great instincts and great skillsets in statistics. Owen is a great tutor to have!

Amber, 2 lessons with Owen

Expert statistician, patient, and great teaching ability

Owen is a great tutor!! I needed help in a graduate-level course in biostatistical theory. He came prepared, answered all my questions, and helped me connect the knowledge gaps that I had. He ensured I was understating concepts and was very patient when I was confused (which was often). But after my tutoring session I am feeling much more confident and feel equipped to practice more problems. I highly recommend him as a tutor!! Thank you!!!!

Sara, 3 lessons with Owen
Hourly Rate: $40
Response time: 2 hours
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