Nan Li

Nan Li is an Assistant Professor in the Life Sciences Communication department at the University of Wisconsin–Madison. Her research bridges computational methods with interdisciplinary applications, as evidenced by her lab's work in the Discovery Building.

Research Interests

Dr. Li's work focuses on neural architecture search, GPU optimization, and deep learning efficiency. She develops algorithms for black-box optimization, path planning, and distributed training of neural networks, leveraging Monte Carlo Tree Search and action space design.

Publication Trends

Recent publications highlight expertise in GPU-accelerated algorithms, model compression, and automated machine learning. Key themes include gradient sparsification, tensor decomposition, and heterogeneous computing.

Labs & Collaborations

She contributes to the Discovery Building research ecosystem via her lab's website SCIMEP, fostering interdisciplinary innovation in computational sciences.