Yunguan Fu
About Yunguan Fu
Yunguan Fu is a Senior Research Engineer at InstaDeep Ltd and a PhD student at UCL Medical Physics & Biomedical Engineering. With a background in applied mathematics, computer science, and data science, he specializes in deep learning techniques for biomedical data analysis.
Current Role at UCL Medical Physics & Biomedical Engineering
Yunguan Fu is currently a PhD student at UCL Medical Physics & Biomedical Engineering, a position he has held since 2022. His research focuses on integrating advanced AI methodologies into biomedical data analysis. In addition to his PhD studies, he serves as an Honorary Research Assistant at the same institution, a role he has maintained since 2019. This dual role allows him to contribute to ongoing research projects while pursuing his doctoral studies.
Experience at InstaDeep Ltd
Yunguan Fu has held multiple positions at InstaDeep Ltd. He began as a Research Engineer from 2019 to 2020, where he contributed to various projects. After a brief hiatus, he returned to the company in 2021 and continued in the same role until 2022. Currently, he serves as a Senior Research Engineer, a position he has occupied since 2022. His work involves specializing in deep learning techniques, particularly geometric learning and diffusion, for biomedical data applications.
Educational Background
Yunguan Fu has a strong educational foundation in mathematics, computer science, and engineering. He earned a Bachelor of Science in Applied Mathematics and Computer Science from Nanjing University from 2011 to 2015. He then pursued a Master of Engineering in Data Science and High-Performance Computing at École Polytechnique from 2015 to 2019. Following this, he completed a Master of Science in Computational Statistics and Machine Learning at UCL from 2018 to 2019. He is currently working towards a Doctor of Philosophy (PhD) in Medical Physics at UCL, expected to complete in 2028.
Previous Experience in Operations Research
Before his roles in biomedical engineering and AI research, Yunguan Fu worked as an Operations Research Analyst at SNCF Réseau in 2017. This position lasted for three months and provided him with experience in applying analytical methods to improve operational efficiency. His diverse background contributes to his current focus on advanced methodologies in biomedical data analysis.
Research Focus and Specializations
Yunguan Fu specializes in deep learning techniques, particularly in the context of biomedical data applications. His expertise includes geometric learning and diffusion methodologies, which are integral to his research at UCL and InstaDeep. He is actively involved in hiring research engineers for InstaDeep BioAI, reflecting his commitment to advancing research in artificial intelligence and its applications in healthcare.