WiDS Berkeley: Women in Data Science at UC Berkeley
Sponsored by CITRIS and the Banatao Institute; Computing, Data Science, and Society; Berkeley Research, Teaching, and Learning; and the Berkeley School of Information
The Global Women in Data Science (WiDS) Conference is an annual technical conference based at Stanford University, which brings together data scientists and professionals in adjacent fields from around the globe to discuss the latest research and applications of data science in a broad set of domains. Participants learn how leading-edge companies are leveraging data science for success and connect with potential mentors, collaborators, and others in the field.
In partnership with the main conference, WiDS Berkeley features on-location events with distinguished speakers from the Bay Area in academia and industry and a student poster session highlighting ongoing student projects.
All genders are invited to participate in the conference, which features exclusively female speakers.
|9:15 am||Keynote address|
|10:00 am||Coffee break|
|10:30 am||Tech talks|
|12:00 pm||Lunch & poster session|
|2:00 pm||Panel discussion|
|3:00 pm||Closing keynote|
Staff Data Engineer
Ysis Wilson-Tarter is a staff data engineer at Absci, where deep learning AI and synthetic biology are harnessed to translate ideas into drugs. She leads the development of data platforms and pipelines for high-throughput biological data, as well as scientific tools for data analysis. Ysis is also the co-tech lead of the Bay Area chapter of Black Girls Code and teaches data visualization and analytics. She has lectured at several institutions, including UC Berkeley, and spoken at events such as DeveloperWeek, Open Data Science Conference, and the Global Synthetic Biology Summit. Tarter holds an MS in applied biomedical engineering from Johns Hopkins University and a BS in computer science from Stanford University where she specialized in biocomputation. She has published peer-reviewed articles in the fields of scalable neuroscience and synthetic biological design.
Call for Student Posters
WiDS Berkeley 2023 will include a poster session to showcase completed and/or in-progress data science projects led by UC Berkeley students.
To present your work in the poster session, please submit this application form:
Application deadline: February 5, 2023
Code of Conduct
The Women in Data Science (WiDS) Conference seeks to support all participants from across the world in an inclusive, safe, and welcoming environment. All participants are expected to be considerate, respectful, and collaborative, and will refrain from demeaning, discriminatory, or harassing behavior and speech.
If you have questions about this event, please contact the WiDS Berkeley planning team at email@example.com.
If you require an accommodation for effective communication (ASL interpreting, CART captioning, alternative media formats, etc.) or information about mobility access in order to fully participate in this event, please contact Catherine Cronquist Browning with as much advance notice as possible and at least 7–10 days in advance of the event.