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职业迁徙
个人简介
My research lies in the intersection of machine learning and applications in human diseases, health and genomics. I was selected as Rising Star in Data Science, Next Generation in Biomedicine, and Rising Star in Engineering in Health. Very honored that my project Trial Pathfinder - using AI to make clinical trials more inclusive - was selected as 2022 Top Ten Clinical Research Achievement and Finalist for Global Pharma Award 2021.
I direct the Laboratory for Machine Learning, Health and Biomedicine at USC. We focus on a variety of machine learning problems inspired by health and biomedicine challenges. Our work involves developing efficient and reliable new algorithms in deep learning, large language models, reinforcement learning, and more. We are also committed to translating our efforts into impactful real-world applications, notably in areas like precision medicine and clinical trials.
I direct the Laboratory for Machine Learning, Health and Biomedicine at USC. We focus on a variety of machine learning problems inspired by health and biomedicine challenges. Our work involves developing efficient and reliable new algorithms in deep learning, large language models, reinforcement learning, and more. We are also committed to translating our efforts into impactful real-world applications, notably in areas like precision medicine and clinical trials.
研究兴趣
论文共 20 篇作者统计合作学者相似作者
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Ruishan Liu,Lisa Wang,Shemra Rizzo,Marius Rene Garmhausen,Navdeep Pal,Sarah Waliany,Sarah McGough, Yvonne G Lin,Zhi Huang, Joel Neal,Ryan Copping,James Zou
Cell reports. Medicineno. 3 (2024): 101444-101444
medRxiv (Cold Spring Harbor Laboratory) (2023)
Kevin Wu,Eric Wu, Michael DAndrea, Nandini Chitale, Melody Lim, Marek Dabrowski,Klaudia Kantor, Hanoor Rangi,Ruishan Liu, Marius Garmhausen,Navdeep Pal,Chris Harbron,
ICLR (2020)
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