Hi, I’m Xinmeng Li

ML Applied Scientist | Ph.D. in Computer Science

I am an ML Applied Scientist at Montai Therapeutics, where I focus on the intersection of Graph Machine Learning and Ranking/Retrieval systems. With a Ph.D. from Tufts University, I specialize in bridging the gap between scientific research and production-grade AI products. I am passionate about scaling complex models and solving high-impact challenges in the AI and biotechnology space.

Core Expertise

Graph ML & Ranking

Expertise in GNN foundations for identifying interactions and matching optimal candidates from large-scale corpora, achieving significant performance uplifts over industry baselines.

Applied Science Leadership

Proven track record of taking research from concept to production, securing intellectual property (patents), and leading cross-functional integration.

Selected Publications

An Ensemble Spectral Prediction (ESP) model

Bioinformatics, 2024. A state-of-the-art ranking model for high-throughput discovery using GNN foundations.

Boost-RS: Boosted Embeddings for Recommender Systems

Bioinformatics, 2022. Novel retrieval approach for interaction prediction in biological data discovery.