Ginger Holt’s journey into the world of statistics and data science began in Fort Worth, Texas, fueled by a family passion for education. She pursued an undergraduate degree in industrial engineering at Texas A&M University and eventually earned a PhD in statistics from Rice University. She loved her first job as assistant professor at the University of Virginia but did not love pursuing research funding, so she transitioned into industry work. Currently at DataBricks, Holt plays a pivotal role in unifying forecasting processes across different domains. Leading her team, she focuses on building tooling in data engineering and data science, aiming to make these processes scalable not only for DataBricks but also for its customers. Her favorite aspect of a career in data science is its ability to foster new learning opportunities.
AI
Nominations Sought for Causality in Statistics Education Award
The award is given by the ASA to a person or team that does the most to enhance the teaching and learning of causal inference in statistics.
SDSS 2024: Lightning Talk Submission Open
The 2024 Symposium on Data Science and Statistics will feature plenary speakers from a variety of backgrounds who will offer thought-provoking sessions exploring topics such as data journalism, ethics and fairness, and the evolving AI research landscape.
Nawar Shara Appointed MedStar Chief of Research Data Science
Shara will provide the strategic vision for growing the health system’s AI research programs, continue to build a sustainable sponsored research portfolio, identify emerging trends in data science research and technology, and foster a culture of innovation that supports new data science ideas and applications.
Top 10 Things I Have Learned from ChatGPT
Michael Hansen has taught AP Statistics for 25 years and high-school computer science for about 13 years. This summer, he used ChatGPT to help him write a Python application of about 3,000 lines. Here are his top 10 takeaways from that experience.
Statistics, AI, and Autonomous Vehicles
David Banks and Yen-Chun Liu examine the future of statistics in artificial intelligence for autonomous vehicles.
Metrology for AI in Medical Decision-Making
Scientists and statisticians address the reliability of radiology and pathology applications by using AI-based systems, but not without challenges.
Highlights of the March 31 – April 1, 2023, ASA Board of Directors Meeting
The first meeting of the 2023 ASA Board of Directors featured the ASA’s first LinkedIn Live event—a conversation with the ASA Board of Directors.
Michael Kosorok Receives George W. Snedecor Award
COPSS recognized Kosorok’s foundational, creative, and original contributions to mathematical statistics; methodological developments in empirical processes and machine learning; advancement of precision health; and mentoring.
Early Registration Deadline on Horizon for AIPM
AIPM 2023 is for statisticians, data scientists, regulators, and other professionals to address the challenges and opportunities of AI in pharmaceutical medicine; foster collaboration among industry, academia, regulatory agencies, and professional associations; and propose recommendations for proper implementation of AI in promoting public health.