Yunran Chen
Feel everything, so as not to feel nothing.
Introduction
Research interests to grow
Models and Methods with Applications in Neuroscience
A single neuron may encode information by fluctuating between two stimuli from trials to trials, or present a ’time division multiplexing’ within a trial. Such turn-taking activities presented by individuals are shown to present a coordination pattern in neural population. We aim to develop statistical methods and models to explore how neuron population coordinate to preserve multiple simultaneously presented stimuli.
Read moreAnalyzing Health Effects of Chemical Exposure using R Markdown
We aim to summarize advanced statistical approaches for analysis of complex mixtures and knit them to R tutorials to make them accessible to researchers without extensive statistics or mathematics backgrounds. This will include online tutorials to introduce advanced statistical approaches to scientists and to provide examples of their use using national survey data..
Read moreTalks and Posters
Detection of Code Juggling with Spike Count Data Analysis
Deliver a presentation in the 2023 Joint Statistical Meetings
Read moreModeling Neural Population Coordination via a Block Correlation Matrix
Present a poster in the 2022 Joint Statistical Meetings
Read moreTeaching Philosophy
Teaching Statement
I would love to encourage students to think in statistical way, transmit what they have learned to real-world practice, interpret and communicate of these statistical models and methods. I would encourage cognitive learning, collaborative learning and cooperative learning.
Read moreTeaching Notes
A collections of intuitions and notes behind statistics and mathematics.
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