Women in Data Science at UC Berkeley 2021: Data Science in Research
Keynote address: Vivienne Ming
Co-Founder & Executive Chair, Socos Labs
Tech Talks:
Anja Feldmann, Professor, Max Planck Institute
Tiffany Tang, Ph.D. candidate, Statistics
Fatema Wala, ESNet Security Engineer
Caroline Figueroa, MD and Postdoc, Digital Health Initiative
https://www.ischool.berkeley.edu/events/2021/wids-berkeley
Vivienne Ming
Co-Founder & CEO, Socos Labs
Director, OptoCeutics
Chief Scientist, Dionysus
Chair Emeritus, StartOut
Dr. Vivienne Ming explores how to maximize human capacity as a theoretical neuroscientist, serial entrepreneur, demented author, and mother of two. Socos Labs, her fifth company and second co-founded with wife Dr. Norma Ming, is a mad science incubator. It explores seemingly intractable problems — from a lone child’s disability to global economic inclusion — for free. Vivienne’s previous companies have applied machine learning to bias in hiring and education at home and in school. She started her professional life as a visiting scholar at UC Berkeley's Redwood Center for Theoretical Neuroscience pursuing her research in cognitive neuroprosthetics. In her free time, Vivienne works to design AI systems to help treat her son’s diabetes, predict manic episodes in bipolar sufferers, and reunite orphan refugees with extended family members. She sits on the boards of numerous companies and nonprofits. For relaxation, she writes science fiction and spends time with her wife and children. Vivienne was named one of “10 Women to Watch in Tech” by Inc. Magazine and one of the BBC’s 100 Women in 2017. She is featured frequently for her research and inventions in The Financial Times, The Atlantic, Quartz Magazine, and the New York Times.
Видео Women in Data Science at UC Berkeley 2021: Data Science in Research канала Berkeley School of Information
Co-Founder & Executive Chair, Socos Labs
Tech Talks:
Anja Feldmann, Professor, Max Planck Institute
Tiffany Tang, Ph.D. candidate, Statistics
Fatema Wala, ESNet Security Engineer
Caroline Figueroa, MD and Postdoc, Digital Health Initiative
https://www.ischool.berkeley.edu/events/2021/wids-berkeley
Vivienne Ming
Co-Founder & CEO, Socos Labs
Director, OptoCeutics
Chief Scientist, Dionysus
Chair Emeritus, StartOut
Dr. Vivienne Ming explores how to maximize human capacity as a theoretical neuroscientist, serial entrepreneur, demented author, and mother of two. Socos Labs, her fifth company and second co-founded with wife Dr. Norma Ming, is a mad science incubator. It explores seemingly intractable problems — from a lone child’s disability to global economic inclusion — for free. Vivienne’s previous companies have applied machine learning to bias in hiring and education at home and in school. She started her professional life as a visiting scholar at UC Berkeley's Redwood Center for Theoretical Neuroscience pursuing her research in cognitive neuroprosthetics. In her free time, Vivienne works to design AI systems to help treat her son’s diabetes, predict manic episodes in bipolar sufferers, and reunite orphan refugees with extended family members. She sits on the boards of numerous companies and nonprofits. For relaxation, she writes science fiction and spends time with her wife and children. Vivienne was named one of “10 Women to Watch in Tech” by Inc. Magazine and one of the BBC’s 100 Women in 2017. She is featured frequently for her research and inventions in The Financial Times, The Atlantic, Quartz Magazine, and the New York Times.
Видео Women in Data Science at UC Berkeley 2021: Data Science in Research канала Berkeley School of Information
Показать
Комментарии отсутствуют
Информация о видео
13 апреля 2021 г. 3:03:52
02:08:44
Другие видео канала
Putting Machine Learning into Production: An Overview — Srijith Rajamohan, DatabricksState of Data 2014: Data Science Teams in the Wild (DataEDGE 2014)I School Faculty Spotlight: Morgan AmesWhen Data Science Meets Design - Alan McConchie, Stamen Design (DataEDGE 2014)The I School in 2019: Where We’ve Been and Where We’re GoingRoundtable Discussion: Refusal of Surveillance Tech, Part 1 (April 12, 2021)Career Services: Networking TipsWhy your Big Data Initiative Sucks and What to do About it - DataEDGE 2015How to Scale AI-led Analytics — Umair Rauf (DataEDGE 2019)Toward Human-Centered Algorithmic Technologies (Min Kyung Lee)DataEDGE Conference: A new vision for data science — May 30--31, 2013WordSeer FeaturesInsight and Oversights: Shaping the Future of Visual Analytics with AI — Alvitta OttleySports Analytics and the Giants: Opportunities for Revenue Generation | DataEDGE 2016UC Berkeley School of Information Winter 2020 CommencementConstructing Experiments to Inform Business Innovation (DataEDGE 2014)Info 159/259. Natural Language ProcessingTrainspotting and Predicting Train Delays | DataEDGE 2016Panel: Size Matters: Big Data, New Vistas in the Humanities and Social Sciences (DataEDGE 2012)At Scale and under Pressure: How Social Media Moderate, Choreograph, and Censor Public Discourse