Celebrating Women in Statistics, Cover Story »

[1 Mar 2021 | One Comment | 2,148 views]
Celebrating Women in Statistics 2021

In honor of Women’s History Month, we are celebrating 15 ASA women who work in statistics and data science. These accomplished women were chosen because they mentor and influenced other women in their field. Read their biographies and find out why they chose statistics, who influenced them, and what they have accomplished.

A Statistician's Life, Celebrating Women in Statistics »

[1 Mar 2021 | Comments Off on Simina Boca | 851 views]

Simina Boca grew up in Bucharest, Romania, and participated in many math contests as a kid. Her best result was fourth place nationally in the ninth grade, but she was pretty sure she didn’t want to focus on pure math as a career. When she attended a genetics class her senior year in high school in the United States, she discovered biostatistics and majored in math at the University of Illinois. Along the way, she realized she enjoyed working with data and thinking about data. From a professional perspective, her proudest moment was convincing collaborators to rerun an experiment because the initial one had pronounced batch effects that could not be fixed at the analysis stage.

A Statistician's Life, Celebrating Black History Month, Cover Story »

[1 Feb 2021 | 2 Comments | 3,242 views]
Celebrating Black History Month

In celebration of Black History Month, we recognize 10 individuals from the Black/African-American collective who have made tremendous contributions to the field of statistics.

Additional Features, News and Announcements »

[1 Feb 2021 | Comments Off on BBSW 2020 Finds New Ways to Collaborate Virtually | 531 views]

While the pandemic prevented a face-to-face event in 2020, the Bay Area Biotech-Pharma Statistical Workshop held two virtual symposiums—both related to COVID-19.

A Statistician's Life, Celebrating Black History Month »

[1 Feb 2021 | Comments Off on Emma Benn | 1,312 views]

Emma Benn has collaborated on a variety of health disparities-related research projects and teaches a graduate-level course, “Race and Causal Inference,” aimed at increasing the methodologic rigor by which health disparities are investigated, with a goal of finding effective causal targets for intervention. Benn’s contributions to diversity and inclusion in statistics and STEM have been celebrated by various organizations, including Mathematically Gifted and Black.