| Sara Hooker | |||||||||||||||||||||||||||
| Birth Place: | Dublin, Ireland | ||||||||||||||||||||||||||
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Sara Hooker is a computer scientist who works in the field of artificial intelligence (AI).[1] [2] Known for her work on model efficiency at scale, large language models and areas of research on algorithmic bias and fairness in machine learning.[3] [4] [5] Launched the Cohere For AI scholars program to increase entry points into AI research. Listed as one of AIs top 13 innovators by Fortune.[6]
The advisory board of Patterns and on Kaggle's ML Advisory Research Board. On the World Economic Forum council on the Future of Artificial Intelligence.[7] Member of the MLC research group, which has a focus on making participation in machine learning research more accessible. Sara Hooker is a VP of Research at Cohere. Serves on the World Economic Forum council on the Future of Artificial Intelligence.
Sara Hooker was born in Dublin, Ireland. At four years old, her parents moved to Lesotho. She grew up in South Africa, Mozambique, Lesotho, Eswatini and Kenya until she was 19.[8]
Sara Hooker is a Doctor of Philosophy in Computer Science from the Quebec Artificial Intelligence Institute, a Bachelors from Carleton College in a Double Major in Economics and International Relations, and an Economics degree from the FGV (Fundação Getulio Vargas). She also has an International Baccalaureate in IB Diploma from the United World College Waterford Kamhlaba.
In 2014, she founded Delta Analytics, a non-profit dedicated to bringing technical capacity to help non-profits use machine learning. Now Sara Hooker is an Advisor at Delta Analytics.[9]
In 2017, Sara Hooker joined Google Brain as a research scientist who worked on interpretability, efficiency at scale. She was part of the original research team involved in founding the Ghana engineering office, Google's first engineering office in Africa.[10] [11]
In April 2022, Sara joined start-up Cohere to lead Cohere For AI.[12] [13] The lab has since released capstone projects like Aya which aim to increase multilingual coverage by doubling the number of languages served by an LLM.[14] The goal of the lab is to open source research and engineering projects at scale. Sara also launched a compute grant program to aim to bridge the resource gap.[15]