Tianfan Fu's Homepage
Tianfan Fu
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Tenure-track Assistant Professor |
Brief Introduction
Tianfan Fu is a tenure-track assistant professor at Rensselaer Polytechnic Institute (RPI) Computer Science Department. He obtained PhD degree from the Department of Computational Science and Engineering at Georgia Institute of Technology in 2023, supervised by Prof. Jimeng Sun. He received his B.S. and M.S. degree at Department of Computer Science and Engineering from Shanghai Jiao Tong University in 2015 and 2018, respectively, supervised by Prof. Kai Yu and Prof. Yanmin Qian (2013-2014), Prof. Zhihua Zhang (2014-2018).
Research Interests
AI for Drug Discovery
AI for Science (Biology/Chemistry/Pharma)
AI for Drug Development (Clinical Trial)
AI for Healthcare
News
01/2023 Our AI for Science paper is accepted by Nature. We will release the paper soon.
12/2022 Our 3rd AI for Science Workshop is successfully held in NeurIPS 2022.
09/2022 Reinforced genetic algorithm (drug design) paper is accepted by NeurIPS.
09/2022 Practical Molecule Optimization (PMO) benchmark (drug design) is accepted by NeurIPS Track on Datasets and Benchmarks.
07/2022 Our 2nd AI for Science Workshop is successfully held in ICML 2022.
06/2022 Our AI foundation for therapeutic science paper is accepted by Nature Chemical Biology.
05/2022 Two protein design (antibody design and fixed-backbone design) papers are accepted by KDD.
01/2022 Our differentiable molecular optimization (drug design) paper is accepted by ICLR.
01/2022 Our clinical trial outcome prediction paper is accepted by Cell Patterns and is selected as cover paper.
12/2021 Our 1st AI for Science Workshop is successfully held in NeurIPS 2021.
Software
Practical Molecule Optimization for drug molecule design
Therapeutics Data Commons (TDC): AI foundation for therapeutic science
DeepPurpose for drug-target interaction, drug repurposing and drug property prediction
Textbook
Our book Machine Learning for Drug Discovery and Development would be published by Springer in 2023.
Collaborators and I translated Deep Learning (Goodfellow et al) (深度学习中译本) in 2017, which receives 200K+ comments at JD and 30K+ star at github