Panel Discussion of the documentary film Picture a Scientist
Date: Monday, July 18, 2022
Time: 12 pm Eastern Time
Costs: Free. Register to attend on Zoom
Description: The ASA Consulting Section is excited to host an important panel discussion that focuses on leading women scientists discussing their response to the documentary, Picture a Scientist, to get their perspectives on gender bias and inequality, drawing on their own experiences and challenges they faced in their journeys.
We highly recommend (although it is not essential) that you watch the documentary, Picture a Scientist (https://www.pictureascientist.com/), prior to the webinar which is available through multiple forums, including Netflix.
Moderators:
Dr. Manisha Desai is Professor of Medicine, Professor of Biomedical Data Science, Professor of Epidemiology and Population Health; and Associate Dean of Research at Stanford. At Stanford she serves as the founding Director of the Quantitative Sciences Unit (QSU), a data science unit consisting of faculty and staff who practice data science to address critical biomedical questions. Her research interests relate to the design of clinical trials, the integration of real world data into clinical trials, and missing data. Dr. Desai is a team scientist, and she is passionate about issues related to equity and inclusion. She believes that in order to do excellent science one needs to include multiple and diverse perspectives and voices. She chairs the Membership Outreach and Diversity Committee for the ASA Statistical Consulting Section and is a member of several committees at Stanford that help to advocate for the advancement and career development of junior faculty in an inclusive manner.
Dr. Kim Love is a private statistical collaborator currently in Athens, Georgia. She is a member of the American Statistical Association (ASA) and is an active leader in the ASA Section on Statistical Consulting, as well as an elected member of the International Statistical Institute (ISI). She has been an active statistical collaborator for more than 15 years. Her statistical expertise includes regression and linear models, categorical data, generalized linear models, mixed-effects models, nonlinear models, repeated measures, and experimental design; her areas of specialization include nursing and health sciences, as well as forestry, natural resources, and agricultural sciences. Her professional mission is to improve researchers’ relationships with statistics and data science through education and individual collaboration.
Presenters:
Dr. Joyce (Joy) Balls-Berry, is an Associate Professor of Neurology at Washington University School of Medicine and Core Leader for the newly established Health Disparities and Equity Core in the Knight ADRC (Center Director John Morris, MD). Her work as a scientist centers on increasing awareness of the importance of community-patient engagement in research to increase health equity in minority and under-resourced communities. Recently, she completed a PCORI project to expand the efforts of the Minority Women in Research Network, which she established in 2011. The network’s mission is to promote community-patient engagement in research conducted by minority women scientists interested in research collaborations, academic scholarship, innovation, and dissemination. As an educator, Balls-Berry received the Mayo Clinic Teacher of Year for the Graduate School and Educator of the Year for the Center for Clinical and Translational Science awards. The faculty and the student body vote on these awards. Recently, she shared her story of living with dyslexia and handling personal challenges as TEDx Talk.
Dr. Scarlett Bellamy is Professor of Biostatistics, Director of Graduate Programs in Biostatistics and Associate Dean of Diversity and Inclusion at Drexel University’s Dornsife School of Public Health. A graduate of Hampton and Harvard Universities, her research interests include evaluating intervention efficacy of longitudinal behavioral modification trails, including cluster- and group-randomized trials. She is particularly interested in applying this methodology to trials addressing health disparities for a variety of clinical and behavioral outcomes. She is PI of the Robert Wood Johnson Foundation funded Dornsife Initiative to Transform Academia for Equity and is the former PI of an NIGMS-funded workshop grant entitled “Fostering Diversity in Biostatistics” at the annual spring meeting of Eastern North American Region of the International Biometrics Society (ENAR). Dr. Bellamy serves as a Co-Director of the Biostatistics and Bioinformatics Core of the Philadelphia Veteran Affairs Medical Center’s, Center for Health Equity Research and Promotion. She is a Fellow of the American Statistical Association and the 2017 ENAR President of the Eastern North American Region of the International Biometrics Society.
Dr. Holly Hartman is an Assistant Professor at Case Western Reserve University in the Population and Quantitative Health Sciences department. She received her PhD in biostatistics from the University of Michigan. She also has a BS in mathematics and molecular and cellular biology from the University of Puget Sound and an MS in biostatistics from the University of Alabama at Birmingham. Her current work is in understanding systemic drivers of racial disparities in prostate cancer outcomes. She also works on methodological improvements for clinical trial designs, collaborates with clinicians, and works to provide better care for patients. Her main goal is to use statistics to identify solutions to health disparities.
Dr. Tomi Mori is a Member (Professor) and Endowed Chair of the Department of Biostatistics at St. Jude Children’s Research Hospital. She is a collaborative cancer biostatistician with research interests in designs of early phase cancer clinical trials, evaluation of precision medicine strategies, and risk stratification methods. She is the 2021 president of the Caucus for Women in Statistics (CWS), which celebrated the 50th anniversary last year. The CWS is an international, professional statistical society for the education, employment and advancement of women in statistics and data science. She helped to organize special events last year in celebration of CWS’s 50th anniversary including monthly Happy Hours with Madam Presidents, Past President Interview Series (cwstat YouTube channel), and Virtual Around the World Conference to showcase and celebrate contributions by women in statistics and data science around the world.