Teaching
At the Harvard Chan Bioinformatics Core, I design and teach hands-on workshops that give Harvard researchers practical computational skills, from their first lines of Python to advanced single-cell and spatial analysis. I revised HBC's flagship single-cell RNA-seq workshop, wrote three new workshops, and moved the training website to Quarto. All materials are open and free to use.
Workshops
Introduction to Spatial Transcriptomics
A hands-on introduction to analyzing spatial transcriptomics data, using Visium HD experiments from quality control through spatially informed interpretation.
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Introduction to Single-cell RNA-seq
End-to-end single-cell analysis taught in both R and Python, from experimental design and quality control to clustering and cell-type annotation.
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Pseudobulk & Related Approaches for scRNA-seq
Sample-level statistical approaches for comparing conditions in single-cell experiments with biological replicates, including pseudobulk differential expression and compositional analysis.
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Introduction to Python
Takes learners from zero Python experience to working with real-world data: core data structures, data wrangling with pandas, and visualization.
View workshop materials →Mentorship
- Undergraduate mentor, Van Andel Research Institute (2019): supervised two undergraduate students in computational research.
- Mathematics tutor, University of Michigan Office of Academic Multicultural Initiatives (2018): tutored first-generation college students in Calculus I and II.