Teaching
National University of Singapore
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ST5209/X: Analysis of Time Series Data
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ST5201X: Statistical Foundations of Data Science
University of California, Berkeley
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Data 102: Data, Inference, and DecisionsCapstone course for the data science major. Develops the probabilistic foundations of inference in data science and builds a comprehensive view of the modeling and decision-making life cycle. Topics include: frequentist and Bayesian decision-making, false discovery rate, causal inference, general linear modeling, non-parametric modeling, bandits, and reinforcement learning.
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Stat 210B: Theoretical Statistics IISecond course on theoretical statistics for PhD students, focusing on high-dimensional statistics.
University of Michigan
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PrecalculusSection of 20–25 students; responsible for lecturing, group work, materials, and grading.
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Calculus ISection of 20–25 students; responsible for lecturing, group work, materials, and grading.
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Calculus IISection of 20–25 students; responsible for lecturing, group work, materials, and grading.
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Multivariate CalculusLed lab tutorial sessions and graded.
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Differential EquationsLed lab tutorial sessions and graded.
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Precalculus (Course Co-coordinator)Co-coordinated a course of ~500 students. Trained and supervised new instructors; wrote homework and exams.