Xuhui(Daniel) Zhan

Xuhui(Daniel) Zhan

Applied Scientist

Treverse LLC

Xuhui (Daniel) Zhan is an Applied Scientist and Machine Learning Engineer working at the intersection of large-scale AI systems, multimodal learning, and ML infrastructure. He currently builds production machine learning systems at Treverse LLC, where he develops end-to-end AI solutions including a Go-based multilingual translation service deployed on AWS, an internal AI/ML platform supporting standardized training and CI/CD pipelines, an edge-first vision presort pipeline for high-speed barcode decoding, and recommendation models that generate personalized item suggestions for hundreds of thousands of users.

Previously at Vanderbilt University, Xuhui conducted research across multiple AI domains. At the AI Negotiation Lab, he led the development of an LLM pipeline that automatically codes negotiation transcripts, reducing annotation costs by over 99% while improving human–model agreement from 30% to 80%. His work has been presented at venues including the 2025 AI Negotiation Summit (Harvard/MIT). At the Network and Data Science Lab, he explored multimodal learning by integrating graph, vision, and language representations, including redesigning LLaVA-style architectures to improve training efficiency while maintaining competitive performance.

As a Professional Research Assistant, he applied computer vision to archaeological analysis, improving ancient mortar classification accuracy from 60% to 97% using Vision Transformers and designing a vision-only provenance algorithm that reduced similarity analysis time from months to minutes. Earlier in industry, he worked as an Algorithm Development Engineer, where he deployed computer vision storage-detection systems across approximately 30 warehouses and improved robotic localization pipelines for automated guided vehicles.

Xuhui holds a Master’s degree in Data Science from Vanderbilt University (GPA 3.98/4.0) and a Bachelor’s degree in Data Science with First Class Honours and Highest Distinction from Beijing Normal – Hong Kong Baptist University.

“Any sufficiently advanced technology is indistinguishable from magic.”

— Arthur C. Clarke, Clarke’s Third Law

Interests
  • Natural Language Processing
  • Computer Vision
  • Graph Neural Network
  • Multi-modality Model
  • Recommender System
  • Foundation Model
Education
  • MSc in Data Science, 2023-2025

    Vanderbilt University

  • BSc in Data Science, 2018-2022

    Beijing Normal-Hong Kong Baptist University

  • BSc in Data Science, 2018-2022

    Hong Kong Baptist University