Lucida Fu
About Lucida Fu
Lucida Fu is a Software Engineer Intern with experience in machine learning and research. She has a background in dance and holds a Bachelor of Science in Statistics and Machine Learning from Carnegie Mellon University.
Work at Falkonry
Lucida Fu has held two positions at Falkonry. She worked as a Machine Learning Intern for three months in 2020, where she contributed to projects involving machine learning applications. In 2021, she returned to Falkonry as a Software Engineer Intern, a role she has maintained for three years, focusing on software development and engineering tasks.
Current Role at Carnegie Mellon University
Since 2021, Lucida Fu has been employed as a Research Assistant at Carnegie Mellon University. In this capacity, she engages in research activities, applying her knowledge in statistics and machine learning to support various academic projects and initiatives.
Education and Expertise
Lucida Fu studied at Carnegie Mellon University from 2019 to 2023, where she earned a Bachelor of Science degree with a focus on Statistics and Machine Learning. This educational background has equipped her with the analytical and technical skills necessary for her roles in software engineering and research.
Background in Dance
Prior to her current career in software engineering and research, Lucida Fu had a background in dance. She worked as a dancer for several prestigious organizations, including the American Ballet Theatre in 2016, the Paul Taylor Dance Company in 2018, and The Royal Ballet School in 2017. Her experience in dance spanned various locations, including New York, Los Angeles, and London.