Nan Jiang
Nan Jiang

Nan Jiang (姜楠)

Assistant Professor · Department of Computer Science, University of Texas at El Paso

Previously: PhD, Department of Computer Science, Purdue University

Research interests: Diffusion Language Models; Neuro-symbolic AI for scientific discovery.

Email CV Google Scholar GitHub Group site

Hiring: I'm looking for self-motivated students passionate about efficient diffusion LLMs and AI4Science. If you're interested in working with me, please apply to the UTEP CS PhD program.

About

I earned my Ph.D. in Computer Science from Purdue University, where I was advised by Dr. Yexiang Xue. My PhD research focused on integrating automated reasoning with machine learning for structured prediction and scientific discovery.

Research Highlights

All research →

Efficient Inference for Diffusion Language Models

Goal: Reduce the inference cost of diffusion-based LLMs for language generation.

  • Reduce the number of diffusion iterations via distillation.
  • Develop a sparse attention mechanism for long-sequence generation.

Neuro-Symbolic AI for Scientific Discovery

Goal: Accelerate the discovery of physical knowledge from experimental data.

  • Design control-variable experiments.
  • Perform active data querying guided by phase portraits.
  • Learn a symbolic-equivalence–aware objective.

Recent Publications

All publications →

2026

News

All updates →