Clarice R. Weinberg was always good with numbers and earned both her bachelor’s and master’s degrees in mathematics. However, she didn’t know what to do with her math degrees so she looked into statistics and eventually earned her PhD in biomathematics from the University of Washington. Now at the National Institute of Environmental Health Sciences, she is active in breast cancer research and working with biostatistics graduate students to develop stochastic search methods to identify sets of gene variants and sets of exposures that synergistically influence risk.
Despite all the difficulty and adjustments, ASA members came together to raise nearly $224,000 in support of ASA programs.
Shawn Simpson loved math and computers as a kid and thought soldering extra chips into her PlayStation was cool, so she resolved to major in electrical engineering in college. It wasn’t until she was analyzing LIDAR data that it became clear how powerful statistics was as a field and she decided to earn her PhD in statistics. Currently, as principal data scientist on the AI Labs team at BlackRock in New York City, she leads a group that builds tools for traders powered by statistics and machine learning. Her advice to young statisticians? Don’t do this alone; reach out to others for support and feedback.
“… Creative ideas can emerge anywhere and at any time if we can only keep ourselves receptive to them.”
Nandini Kannan was born in Bhopal, India, and completed her schooling in Mumbai and New Delhi. She enjoyed solving math puzzles as a child, inheriting her love of mathematics from her father, a mathematician. After completing a master’s degree at the University of Madras, Kannan joined the University of Pittsburgh to work with C. R. Rao. She is proud of her work at the National Science Foundation developing interdisciplinary research and training programs in data science and is passionate about the critical role science and technology play in this global interconnected society. Kannan is committed to developing and supporting initiatives that address diversity and equity in the STEM workforce.
