Public Health 292: Biostatistics Seminar for Graduate Students (Spring 2022)
Course Information
- Professor: Corinne Riddell
- Content: PH292 is a required seminar course for master students in Biostatistics. Topics include thesis writing, peer review of academic writing, statistical software development, principles of open and reproducible science, collaboration etiquette, and Diversity, Equity, and Inclusion (DEI).
You can find my lecture slides about these DEI topics:
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Eugenics and statistics, i.e., how racism and other -isms are part of the history of statistics and play out in modern statistics.
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Ethics and algorithmic fairness in health care, including
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ethical concerns in the development of genetics,
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representation disparity in genetic studies and clinical trials,
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algorithmic fairness in machine learning with case studies.
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Yutong Wang (王雨桐)
PhD candidate in Biostatistics
I am a PhD candidate in the Graduate Group in Biostatistics at University of California, Berkeley, advised by Prof. Yun S. Song. Committed to advancing our understanding of biology through rigorous computational and statistical frameworks, I specialize in distilling insights from high-dimensional and noisy biomedical data. My methodological focus encompasses statistical machine learning and deep learning techniques, which I apply to a wide array of biological questions spanning cell biology, cancer immunology, and neuroscience. I am particularly captivated by the untapped potential of emerging technologies such as spatial transcriptomics and CRISPR-screening, which I believe are key to unraveling the complex molecular landscapes underlying tumor microenvironments and cellular interactions.