Diana Lam is a data scientist dedicated to making data more accessible and fostering strong communities. They have experience as a Senior Statistical Programmer at Genentech, where they led initiatives to enhance data visualization and trust in machine learning outputs. Diana previously held various roles, including Fellow at the National Institutes of Environmental Health Sciences and consultant at the University of Maryland Baltimore, contributing to significant research projects across medical and academic fields. Currently, they are pursuing a B.S. in Chemical Biology at the University of California, Berkeley, alongside a Ph.D. in Biostatistics from The University of North Carolina.
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