Teaching

Courses

Teaching Fellow, PHS 2000A: Quant. Methods for Population Health Science I (Fall 2020, Fall 2022)

• Doctoral-level quantitative methods course covering topics in sampling, likelihood theory, generalized linear regression models, longitudinal data analysis, survival analysis, and measurement theory.

Teaching Fellow, PHS 2000B: Quant. Methods for Population Health Science II (Spring 2021)

• Doctoral-level quantitative methods course covering topics in propensity score based methods, sensitivity analysis, measurement error correction, causal interaction/mediation, marginal structural models, regression discontinuity designs, interrupted time series, difference-in-differences, factor analysis, methods for missing data, meta-analysis, and multiple testing.

Teaching Fellow, Nutrition 202: The Biological Basis of Human Nutrition (Spring 2022)

• Required course for all Nutrition masters and doctoral students, covering biochemistry and metabolism of carbohydrates, fats, proteins, vitamins, and minerals in the context of human disease. Particular emphasis is given to current knowledge of the mechanisms that may explain the role of diet in the causation and/or prevention of ischemic heart disease, diabetes, obesity, hypertension, and cancer.

Teaching Fellow, SBS 203: Program Planning (Spring 2022, Spring 2023)

• Required course for all masters students in the Social and Behavioral Sciences program. Provides an introduction to public health intervention planning. Applies social science principles to community assessment, data collection, and prioritization. Foci include identifying health-related needs and assets for individuals, communities, organizations, and national groups and will discuss the various challenges that researchers and practitioners encounter when doing work “on the ground”.

Teaching Fellow, SBS 204: Program Implementation and Evaluation (Spring 2022, Spring 2023)

• Required course for all masters students in the Social and Behavioral Sciences program. Provides an introduction to public health intervention implementation and evaluation in applied settings. Foci include health-related intervention for individuals, communities, organizations, and local/national groups and the various challenges that researchers and practitioners encounter when conducting this work.

Select Qualitative Feedback

Full evaluations available upon request

• “Ok… teachers aren’t supposed to have favorites, right? But can students? Matt’s labs were my favorite! This kid has a gift for teaching and I hope if he’s considering being a professor one day he pursues that! The other TAs also gave amazing labs, but I think the way Matt put his together and explained concepts with examples and graphics was unparalleled. Also, you can tell he put a lot of effort into teaching well and that is very much appreciated. Thank you, Matt!”
• “Out of all the TA’s I feel like Matt is the most consistent and apt as a teacher. His lab lectures were always incredibly clear and well– thought out and I always appreciate that his answers and support were very easy to understand. It’s clear he has a gift for teaching and a strong grasp of how to do it well in a way that distills complex concepts into more simple to understand ones.”"
• “Matt is incredible! Another gem of the PHS team! He was always very kind and helpful for PHS material during class and office hours, as well as supporting students with any and all R issues. I felt confident in my ability to tackle the problem sets after office hours with Matt, and felt like I was able to better engage with the material.”
• “Especially when leading small group activities in class, Matt was really helpful in providing clarity to how certain strategies were used in practice and good at discussing the pros and cons of their application”
• “He is SO KNOWLEDGEABLE in what was being taught!! It is great to have a TA with lived experience in the coursework, I feel like I don’t get that as often as I would like.”
• “Matt was an absolutely incredible TA. He made complicated terms and concepts easy to understand. I especially appreciated his weekly review sessions, where he would effectively summarize the weeks lectures and answer any outstanding questions. He was always kind and never let anyone feel small or incompetent.”

View my teaching ratings here.

Sessions

Teaching Fellow, PHS SummR Camp (Summer 2020)

• Week-long bootcamp covering introduction to R programming, mathematical notation and L^aT_eX typesetting, math and probability review, and linear regression. Developed:

  • Course site [link]
  • Guide to R Sweave and L^aT_eX [link]
  • Linear regression module [slides] [Interactive #1] [Interactive #2]