Exploring the unknown, together.
Community Talk: Career creation for non-standard candidates, with Rosanne Liu
Rosanne Liu is the Co-founder and Executive Director of ML Collective, a non-profit organization providing research training for all, through open collaboration and accessible mentorship; and she is concurrently doing science at Google Brain. Before that she was one of the 15 founding members (and the only woman) of Uber AI Labs. She has published research at NeurIPS, ICLR, ICML, Science and other top venues, and her work has been covered by WIRED, MIT Tech Review, and Fortune. She obtained her PhD in Computer Science at Northwestern University; while at school she used neural networks to help discover novel materials, and to optimize fuel efficiency in hybrid vehicles. She builds and supports communities for underrepresented and unprivileged researchers, organizes symposiums, workshops, and a weekly reading group “Deep Learning: Classics and Trends” since 2018. She serves as the Diversity, Equity & Inclusion chair of ICLR 2022 and 2023. She is currently thinking deeply about how to democratize AI research even further, and improve the diversity and fairness of the field, while working on multiple fronts of machine learning research including understanding training dynamics, rethinking model capacity and scaling. Through all these efforts she wants to make neural networks a better place—both to understand the science better, and to make it a more fulfilling field to work in.
Follow Rosanne on Twitter at https://twitter.com/savvyRL
This event was hosted by C4AI community organizers Jen Iofinova and Jonas Kgomo.
Learn more about Cohere For AI at https://cohere.for.ai/
Follow us on Twitter here: https://twitter.com/forai_ml
Make sure you follow us on LinkedIn here: https://www.linkedin.com/showcase/cohere-for-ai/
Rosanne Liu is the Co-founder and Executive Director of ML Collective, a non-profit organization providing research training for all, through open collaboration and accessible mentorship; and she is concurrently doing science at Google Brain. Before that she was one of the 15 founding members (and the only woman) of Uber AI Labs. She has published research at NeurIPS, ICLR, ICML, Science and other top venues, and her work has been covered by WIRED, MIT Tech Review, and Fortune. She obtained her PhD in Computer Science at Northwestern University; while at school she used neural networks to help discover novel materials, and to optimize fuel efficiency in hybrid vehicles. She builds and supports communities for underrepresented and unprivileged researchers, organizes symposiums, workshops, and a weekly reading group “Deep Learning: Classics and Trends” since 2018. She serves as the Diversity, Equity & Inclusion chair of ICLR 2022 and 2023. She is currently thinking deeply about how to democratize AI research even further, and improve the diversity and fairness of the field, while working on multiple fronts of machine learning research including understanding training dynamics, rethinking model capacity and scaling. Through all these efforts she wants to make neural networks a better place—both to understand the science better, and to make it a more fulfilling field to work in.
Follow Rosanne on Twitter at https://twitter.com/savvyRL
This event was hosted by C4AI community organizers Jen Iofinova and Jonas Kgomo.
Learn more about Cohere For AI at https://cohere.for.ai/
Follow us on Twitter here: https://twitter.com/forai_ml
Make sure you follow us on LinkedIn here: https://www.linkedin.com/showcase/cohere-for-ai/