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This is a different kind of post, but one that I think is kind of fun. I currently live in Ottawa, which for those who don’t know, is the capital city of Canada. For a capital city, it’s fairly small, but it’s increasingly urbanizing (we just got lightrail transit). Segregated bicycle lanes and paths are becoming more common too and many of these paths have trackers on them that count how many bicycles cross a particular street or path each day.

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This past summer, I watched a brilliant lecture series by Richard McElreath on Bayesian statistics. It honestly changed my whole outlook on statistics, so I couldn’t recommend it more (plus, McElreath is an engaging instructor). One of the most compelling cases for using Bayesian statistics is with a collection of statistical tools called linear mixed models or multilevel/hierarchical models. It’s common that data are grouped or clustered in some way.

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If you’re anything like me, you probably set a lot of goals. Whether it’s to finish a paper by the end of the summer or to spend more time with friends and family, goals are what help motivate us to do something. Goals are also intimately tied to our feelings. You may have had the experience of falling behind in your goals, which made you upset, but ultimately motivated you to step up your efforts.

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Emotion dynamics is the study of how emotions change over time. Sometimes our feelings are quite stable, but other times capricious. Measuring and predicting these patterns for different people is somewhat of a Holy Grail for emotion researchers. In particular, some researchers are aspiring to discover mathematical laws that capture the complexity of our inner emotional experiences - much like physicists divining the laws that govern objects in the natural environment.

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Sporting events host witness to a wide range of human emotion. The emotional ups and downs are especially clear among invested fans. Fans experience the joy and excitement of a triumphant comeback, or the anxiety and disappointment of a loss. It is particularly interesting to see how emotions differ from two opposing fan groups watching the same match. I decided to perform some simulations on how a crowd of fans would react during a basketball game.

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Selected Publications

Aloneliness is conceptualized as the negative feelings that arise from the perception that one is not spending enough time alone. We …

Sentiment analysis is a computational method that automatically analyzes the valence of massive quantities of text. Basic sentiment …

Shyness is characterized by the experience of heightened fear, anxiety, and social‐evaluative concerns in social situations and is …

The ability to intentionally control behavior to achieve specific goals helps children concentrate in school and behave appropriately …

The aim of the present study was to examine the moderating role of inhibitory control (IC) in the associations between shyness and …

The purpose of this study was to explore the longitudinal links among Chinese children’s self‐control, social experiences, and …

The goal of this study was to explore associations among maternal agreeableness, child temperament (i.e., emotion dysregulation), and …