I am a Ph.D. student in Computer Science at Rice University, advised by Dr. Arlei Silva. I received a Master’s degree in Computer Science at Northwestern Polytechnical University (西北工业大学), Xi’an, China, under the supervision of Dr. Hui Yu. I have a Bachelor’s degree in Software engineering from Zhejiang Normal University (浙江师范大学). My Chinese name is 金小超 (Jīn Xiǎo Chāo).

Research Interests

I am broadly interested in deep learning, but with special focus on Graph Neural Networks (GNNs) and their applications. Currently working on the application of GNNs to the prediction/emulation of extreme weather events such as flooding by designing Physics-Informed/Inspired GNNs.

Updates

• 2024-05: Started a research internship at “NCAR” with the “MILES” group.

• 2024-05: “Pluvial Flood Emulation with Hydraulics-informed Message Passing” is accepted for publication at ICML, 2024

• 2024-03: “FloodGNN-GRU: A Spatio-Temporal Graph Neural Network for Flood Prediction” is accepted for publication in the Environmental Data Science journal.

• 2022-11: “Flood Prediction with Graph Neural Networks” is accepted for publication in Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022.

• 2022-07: Started my Ph.D. in Computer Science at Rice University

• 2021-12: Started a research internship at Baidu Research.

• 2021-09: “Drug-drug Interaction Prediction with Learnable Size-Adaptive Molecular Substructures” is accepted for publication in Briefings in Bioinformatics.

• 2021-03: “SSI–DDI: substructure–substructure interactions for drug–drug interaction prediction” is accepted for publication in Briefings in Bioinformatics.

Contact info

Email: arnoldnyamabo_at_gmail_dot_com