Fangfang Xia is a Computer Scientist in the Data Science and Learning Division at Argonne National Laboratory. He is interested in artificial intelligence, computational biology, and brain-inspired computing. His current research focuses on understanding how the brain learns, developing data-efficient learning algorithms, and applying machine learning to biomedical problems.  

Research Interests

• Biologically inspired learning algorithms
• Computational models for predicting drug response
• Antimicrobial resistance detection and prediction
• Genome and metagenome assembly, annotation and metabolic modeling
• Evolution, comparative genomics and phenotype prediction
• High performance computing
• Spiking neural networks
• Robotics