My research interests are generative modeling, AI agents, and AI for science. My research papers are listed here. I am also a core contributor to open-source projects: AdalFlow (4k+ stars, a library for building and auto-optimizing LLM applications and agents), DIG (2k+ stars, a library for graph deep learning research), and AIRS (700+ stars, a collection of algorithms and benchmarks for AI for science).
Previously, I was Co-Founder & CTO at SylphAI, where I built AI agentic systems to automate engineering tasks end-to-end. Before that, I was a Research Scientist at NVIDIA, where I developed generative AI methods for scientific discovery.
I obtained my PhD degree in Computer Science from Texas A&M University in 2023, advised by Prof. Shuiwang Ji. During my PhD, I did research internships at Google (2022), Meta (2022), and Fujitsu Research of America (2021). I earned my bachelor’s degree in Electronic Engineering from Tsinghua University in 2019, advised by Prof. Liangrui Peng.
Contact: meng98liu [AT] gmail.com