Zhuhan Bao

My name is Zhuhan Bao (鲍竹涵). I am currently a Visiting Scholar at Duke-NUS Medical School, Singapore, working with Prof. Nan Liu. I also serve as a Researcher on the Benchmark Research Team at TouchStone AI.

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News

  • Visiting Scholar at Duke-NUS Medical School, Singapore, advised by Prof. Nan Liu.
  • Second Prize at 2026 ASC Student Supercomputer Challenge.
  • Second Prize at the East China Regional Final of the Service Outsourcing Innovation Competition.
  • Excellent Award, 1st National Service Computing Innovation Competition.
  • Visiting Student at Duke University, advised by Prof. Chuan Hong.
  • Second Prize at 2025 ASC Student Supercomputer Challenge.
  • Visiting Student at Zhejiang University NESA Lab, advised by Dr. Peiyu Liu.

Research

Duke-NUS Medical School
Centre for Biomedical Data Science
Advised by Prof. Nan Liu

Medical AI research on multilingual clinical dataset generation and multimodal diagnostic reasoning evaluation.

Duke University
Dept. of Biostatistics & Bioinformatics, School of Medicine
Advised by Prof. Chuan Hong

Clinical dialogue simulation, medical AI agents, and synthetic healthcare data generation. Leading LLM-based simulation frameworks for behaviorally grounded doctor–patient interaction modeling. Maintaining DCC computing cluster and H200 GPU benchmarking for large-scale AI research.

Industry Experience

TouchStone AI Lab
Benchmark Research Team
Advised by Hui Shen

Focused on computer-use agents. Touchstone delivers high-quality training data and real-world benchmarks for teams building and evaluating AI systems. Explore research

Publications

Evaluating Multi-Turn Multimodal Diagnostic Reasoning on Challenging Real-World Clinical Cases
Rui Yang, Weihao Xuan, Yi Lin, Zhuhan Bao, Jonathan Chong Kai Liew, Matthew Yu Heng Wong, Nicolás Lescano, Nikita R. Paripati, Emily Ling-Lin Pai, Jiarui Liu, Heli Qi, Heng-Jui Chang, Benny Kai Guo Loo, Huitao Li, Kunyu Yu, Yufan Wang, Chuan Hong, Shijian Lu, Douglas Teodoro, Naoto Yokoya, Ross Koppel, Mona Diab, Hua Xu, David W. Bates, Nan Liu†, Yifan Peng†
Under review
SIMAX: A Scalable and Interpretable Framework for Multi-Fidelity and Annotated Clinician-Patient Dialogue Simulation
Zhuhan Bao*, Rui Yang*, Bohao Yang, Zhiyi Liu, Sicheng Shu, Ruio Heerschap, Le Li, Doris Yang, Elisabeth Bond, Haoyuan Wang, Nicoleta Economou-Zavlanos, Joshua M. Biro, Matthew McDermott, Nan Liu, Anand Chowdhury, Kai Sun, Kathryn Pollak, Ed Hammond, Chuan Hong†
Under revision

* Equal contribution  ·  † Corresponding author

Education

Hangzhou City University
School of Computer and Computing Science
GPA 3.77/4.0  ·  Average 86.29/100

Projects

OS Omni

Cross-platform benchmarking for computer-use agents. Contributed 70 tasks based on open-source Linux software and reviewed OpenAPP benchmark tasks. Set up and tested LivingBench environments on Android, macOS, iOS, and Windows, and completed the Android experiment suite.

vLLM Sampler Fusion and Optimization on Ascend 910B

Built a Triton fused sampler for vLLM on Ascend 910B, combining top-k/top-p sampling, softmax, and repetition penalties for 128K vocabularies. Increased Llama-3-8B inference throughput at TP=8 from 113.64 to 395.75 tokens/s.

Teaching

High Performance Computing · Teaching Assistant

Designed assignments, led problem-solving on MPI, OpenMP, and parallel algorithms.

Leadership

Captain, HZCU High-Performance Computing Lab

Leading the HPC team in competitions (ASC, IndySCC). Training on Slurm, parallel programming, and cluster operations.

Captain, Voluntary Maintenance Team

Organized free equipment maintenance, solving 500+ problems at 98% satisfaction. Expanded service coverage and trained 25 new members.

Honors & Awards

Skills

High Performance Computing Medical NLP Agent Engineering