Kate Rakelly

Kate Rakelly is an accomplished professional with a strong academic background in the field of Artificial Intelligence. She obtained her PhD in AI from UC Berkeley in December 2020 under the guidance of Sergey Levine within the Berkeley AI Research (BAIR) group. Her doctoral studies also involved collaborations with Professors Alyosha Efros and Trevor Darrell. Kate has further augmented her expertise through a Research Scientist Internship at DeepMind from January to June 2021.

In addition to her doctoral achievements, Kate Rakelly holds a Bachelor's degree in Electrical Engineering and Computer Sciences (EECS) from UC Berkeley, which she completed in 2015. During her undergraduate years, she engaged in research projects with notable figures in the field including Shiry Ginosar, Alyosha Efros for computer vision, and Insoon Yang, Claire Tomlin for control systems. These experiences have enriched her academic journey and provided a diverse skill set.

Kate Rakelly's professional journey spans across renowned organizations such as DeepMind, where she served as a Research Scientist Intern, and Adobe, where she contributed as a Creative Technologies Intern. Her earlier roles include valuable research assistant positions at UC Berkeley, working with esteemed mentors such as Prof. Alysha Efros in AI Research and Prof. Claire Tomlin in the Hybrid Systems Lab. Kate continues to explore the frontiers of AI research, evident through her publications and ongoing work.

To learn more about Kate Rakelly's research endeavors and projects, visit her website at https://katerakelly.github.io/. Her dedication to advancing AI technologies and her multidisciplinary background make her a valuable asset to the field.