معرفی
Lucia Gordon is a PhD Candidate in Computer Science at Harvard University’s School for Engineering and Applied Sciences, where she is affiliated with Andrew Davies’ lab and the Pioneer Centre for Artificial Intelligence in Denmark. She is associated with Christian Igel’s and Serge Belongie’s groups at the University of Copenhagen, focusing on machine learning applications for Earth observation data and remotely sensed imagery.
- Education: A.B. in Physics and Mathematics from Harvard College (2018–2022); currently pursuing a PhD in Computer Science at Harvard (2022–present).
Her research bridges Computer Vision, Active Learning, Multimodal Data Analysis, and Dataset Imbalance in ecological contexts. She is an NSF Graduate Research Fellow and has received academic distinctions including Magna Cum Laude, Highest Honors in Physics & Mathematics, Phi Beta Kappa, John Harvard Scholar, National Merit Scholar, and Scholastic Art & Writing Awards.
Recent publications highlight her work on machine learning for Earth observation, with emphasis on ecological modeling, multimodal fusion, and active learning techniques. Her contributions span venues like ECAI, ECCV workshops, IJCAI, Monthly Notices of the Royal Astronomical Society, and Physical Review D.
- Scientific Awards:
- NSF Graduate Research Fellow
- Magna Cum Laude
- Highest Honors in Physics & Mathematics
- Phi Beta Kappa
- John Harvard Scholar
- National Merit Scholar
- Scholastic Art & Writing Awards Gold Key
- Scholastic Art & Writing Awards Gold Medal
Lucia develops machine learning tools for ecological sustainability, leveraging statistical and algorithmic methods to address challenges in biodiversity monitoring and environmental data analysis. She actively participates in AI for Social Impact and BIOSPACE communities, presenting at conferences like AAAI, ECCV, ECAI, and BIOSPACE.
