Women in Data Science: Apr 2022 Panel and Other Resources (Event Announcement)
Building an inclusive data science community and the upcoming Women in Data Science Panel at New York University
The World Economic Forum’s Global Gender Gap Report 2021 finds that fewer than 35% of professionals in data science are women. The lack of diversity in data science and artificial intelligence allows biased research agendas, algorithms, and tech policies to shape our increasingly digital future.
However, data science still has incredibly talented female scientists bringing diverse ideas and experiences to the table.
The Women in Data Science speakers panel at NYU will highlight the paths, accomplishments, and struggles of women pursuing careers in data and AI in hope of encouraging underrepresented students to embark on their data science journeys.
The event will be moderated by Yara Kyrychenko, a current NYU Women in Science member, and will include the following panelists:
- Dr. Andrea Jones-Rooy — NYU Data Science Professor
- Dr. Angela Radulescu — NYU Moore-Sloan Faculty Fellow at Center for Data Science
- Marianne Aubin Le Quere — Cornell Information Science Ph.D. student
When: Monday, Apr 11, 7–8:30pm EDT
Where: on Zoom
RSVP (only 25 places available): https://www.eventbrite.com/e/women-in-data-science-panel-tickets-312563685397
Dr. Andrea Jones-Rooy
Andrea Jones-Rooy, Ph.D. (they/them) is a professor and the Director of Undergraduate Studies at the NYU Center for Data Science, where they teach their flagship undergraduate course, Data Science for Everyone, as well as upper-level courses on natural language processing. They are also a research consultant, coach, and keynote speaker for Global Fortune 500s and tech companies on how to use data science to more thoughtfully measure talent. When they aren’t doing those things, they are an internationally touring standup comedian and circus performer, as well as host of the podcast Majoring in Everything and a proud member of the World’s Smartest Podcast Network.
Dr. Angela Radulescu
Angela Radulescu is a Moore-Sloan Faculty Fellow at the New York University Center for Data Science, where she studies naturalistic reinforcement learning. In her work, she uses methods such as computational modeling of behavior and eye-tracking, with a recent focus on exploring the potential of combining reinforcement learning models with virtual reality (VR). Angela earned her Ph.D. in Psychology and Neuroscience from Princeton University, and in September she will be starting as an assistant professor and principal investigator at the Mount Sinai Center for Computational Psychiatry.
Marianne Aubin Le Quere
Marianne Aubin Le Quéré is a PhD Student in the Information Science department at Cornell Tech. She uses computational methods to assess public attention to news and civically relevant information on social media, and examines the impacts of technology on the local journalism industry. In the past, she was a Product Manager at Microsoft, and graduated with a degree in Computer Science and Non-Fiction from Brown University. Marianne is an advocate for gender inclusion in computing at Cornell, and has surveyed peers and analyzed departmental data to shed light on community needs.
More Resources for Women in Data Science
- The Alan Turing Institute: Women in data science and AI
- 30 inspirational women-trailblazers in data science by Pranav Dar on Analytics Vidhya
- Data Science 4 All / Women fellowship program
- NYU CDS Women in Data Science Group
- NYU Women in Science News & Events
- Scholarships for women in STEM pursuing graduate school
- College and career opportunities from Girls Who Code
