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Talithia Williams

Associate Dean, and Associate Professor of Mathematics
Harvey Mudd College

and Host of PBS NOVA Wonders
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A host of the PBS series, NOVA Wonders, Dr. Talithia Williams is a groundbreaking professor, popular TED speaker, inspiring author and passionate STEM/STEAM advocate. She has made it her life's work to get people of all ages and backgrounds excited about the bold possibilities of a STEM education and to “STEMpower” women and minorities to enter these professions. Her latest book, Power in Numbers: The Rebel Women of Mathematics reflects Williams’ passion to re-brand the field of mathematics as anything but dry, technical or male-dominated. Renowned for her popular TED Talk, “Own Your Body’s Data,” she advocates for all of us to deploy data as a way of taking charge of our own health. A vibrant, engaging and energizing speaker, Dr. Williams demystifies data, statistics, probabilities and the mathematical process in amusing and insightful ways. She also passionately champions the contributions of scientists, technologists, engineers and mathematicians and their vital role in transforming our future.​
 
​Dr. Williams is Associate Dean for Faculty Development and Diversity and Associate Professor of Mathematics at Harvey Mudd College, where she develops statistical models which emphasize the spatial and temporal structure of data, applying them to real world problems. Focused on data analytics, mathematics, statistical modeling and STEM outreach, she is the first African-American woman to achieve tenure at the college. She hosts NOVA Wonders, a PBS mini-series that explores the biggest questions on the frontiers of science. The Los Angeles Times praised the show for sending the message “that scientists come in a range of ages, genders, colors and hairstyles.” She also appeared in NOVA’s Prediction by the Numbers, a series exploring the history of probabilities and gambling which Forbes called, “an entertaining, fun piece that conveys her knowledgeable and deep interest in this predictive method.” In addition to her teaching and television work, she has partnered with the World Health Organization in developing a cataract model used to predict the cataract surgical rate for countries in Africa. Her professional experiences include research appointments at NASA’s Jet Propulsion Laboratory, NASA’s Johnson Space Center, and the National Security Agency.

Technical Vision Talk Abstract: "Know Thyself: Introspective Personal Data Mining"
​The leading edge breed of high-tech, wearable health technology is changing how we monitor personal data. We can quantify everything from heart rate and sleep patterns to body temperature and sex life. But, what is the average person to do with the massive amounts of data being collected? This talk makes a compelling case that all of us should be recording simple data about our bodies and will help you begin to analyze and understand your body’s data. Surprisingly, your own data can reveal much more than even your doctors may know!

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  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Research
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conferences
    • WiDS Stanford 2023 Agenda
    • WiDS Stanford 2023 Speakers
    • WiDS Regional Events 2023
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2022
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Resources >
      • Datathon Press Release
    • WiDS Datathon Workshops 2023
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Next Gen >
      • Next Gen Resources
      • Next Gen Committee