I love teaching, talking with students during office hours, giving feedback to students. I think about what is the best way to convey knowledge in an easier, intuitive way. I have TA’ed several classes, mentored several students and friends who are undergraduate, master, and doctoral students.
Teaching assistant, Biostatistics Department at University of North Carolina, Chapel Hill, NC
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FALL 2020: BIOS760 Statistical Inferences I – office hours, course preparations, and grading
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FALL 2018: BIOS661 Introduction to Data Science – planning of the initial course offering, lab sessions, making homework, and grading
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FALL 2019: BIOS667 Applied Longitudinal Data Analysis – grading
Tutoring Service, Biostatistics Department at University of North Carolina, Chapel Hill, NC
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2018, 2019: Comprehensive exam preparation
Guest Lecture, Division of Pharmacotherapy and Experimental Therapeutics at University of North Carolina, Chapel Hill, NC
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April 2019: DPET831 Introduction to machine learning: statistical learning, deep learning, and application to pharmaceutical research
Teaching assistant, Mathematics and Statistics Department at Loyola University Chicago, Chicago, IL
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FALL 2015: STAT488 Regression Analysis – grading
Empirical process study group, Biostatistics Department at the University of North Carolina, Chapel Hill, NC
- 2018-2019: Led discussion of the “Introduction to Empirical Processes and Semiparametric Inference .”
Seminars and journal clubs
- April 2022: Coding practices for early-stage statistics researchers and some R tips
- September 2021: Discussion of Kallus 2021 “More Efficient Policy Learning via Optimal Retargeting.”
- March 2021: Discussion of Svensson 2021 “Droplet scRNA-seq is not zero-inflated”
- January 2020: Discussion of Qian et al “Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study”
- March 2019: Review of random forests and causal inference