CV

My curriculum vitae.

Basics

Name Zhiyu Wang | 王智语
Email zhiyu_wang_work (at) outlook (dot) com
Url https://wzy-zhiyu-wang.github.io/
Summary I'm an AI researcher advancing science and healthcare through innovative machine-learning methods.

Education

  • 2024.10 - 2025.07

    Cambridge, UK

    Master of Philosophy (Distinction, Rank 8/60)
    University of Cambridge
    Advanced Computer Science
    • Geometric Deep Learning
    • Affective AI
    • Wearable & Mobile AI
    • Multi-agent Reinforcement Learning
    • Natural Language Processing
  • 2021.09 - 2024.06

    London, UK

    Bachelor of Science (First Class Honors)
    University College London
    Computer Science
    • Machine Learning
    • Computer Vision
    • Reinforcement Learning
    • Mathematics & Statistics
    • Software Engineering

Work

  • 2025.09 - Present

    Beijing, China

    Sapient Intelligence
    AI Research & Application Engineer
    Applying Hierarchical Reasoning Models to healthcare scenarios and collaborating with Peking Union Medical College Hospital to develop healthcare solutions.
  • 2025.04 - 2025.09

    Shanghai, China

    Shanghai Jiao Tong University
    Research Assistant
    Protein substructure alignment via optimal transport. Supervisors: Prof. Pietro Lio & Prof. Liang Hong.
    • Developed PLASMA, a module based on optimal transport for fast and highly accurate identification of locally similar protein substructures. Accepted at ICLR 2026. (Paper)
    • Demonstrated consistent +10-30% ROC-AUC improvement across 7 backbone protein language models on 3 VenusX tasks.
  • 2024.10 - 2025.09

    Cambridge, UK

    University of Cambridge
    Research Assistant
    Hierarchical protein representation learning, multi-omics integration with GNNs (Supervisor: Prof. Pietro Lio), and graph-based facial expression analysis (Supervisor: Prof. Hatice Gunes).
    • Developed TCPNet, an SE(3)-equivariant topological neural network for hierarchical protein representation learning. (Paper) (Invited Talk)
    • Awarded Highly Commended M.Phil Project Prize 2024-2025.
    • Multi-omics integration using heterogeneous graph networks for single-cell data. (Paper)
    • GraphAU-Pain accepted at IJCAI25 MiGA Workshop.
  • 2024.07 - 2024.09

    Hefei, China

    Xunfei Healthcare Technology
    Assistant AI Research Engineer
    Built a knowledge distillation pipeline using a teacher LLM to synthesize medical instruction examples, improving student model (Xiaoyi) instruction-following accuracy from 34% to 82% via supervised fine-tuning.
  • 2023.05 - 2023.08

    Shanghai, China

    Luojin Data Information
    Intern Machine Learning Engineer
    Developed a Retrieval-Augmented Generation (RAG) pipeline with MongoDB vector store and LangChain agents for automated financial report classification, achieving 92% query translation accuracy and 97% entity matching rate through semantic search.
  • 2022.09 - 2023.05

    London, UK

    University College London
    Programming Tutor
    Organized biweekly group discussions for 12 first-year computer science students, offering academic guidance and peer support.
  • 2022.09 - 2023.05

    London, UK

    National Health Service (NHS)
    Intern Software Engineer
    Created an automated chatbot generation service for hospitals, reducing development time from weeks to 30 minutes.
    • Delivered a live demonstration at Great Ormond Street Hospital to clinicians, and presented at UCL to IBM, Microsoft, and Intel, earning media recognition from an IBM Master Inventor.

References

Professor John McNamara
IBM Master Inventor, UCL Honorary Professor
Supervisor of Zhiyu's Year 2 project (NHS Chatbot) in UCL
I've had the pleasure of working with many early professionals in the academic consulting space, but Zhiyu is exceptional; a galvanising force for good who relishes a challenge. Before I worked with he directly, I was aware of his excellent reputation through the university – someone that everyone knows, and feels that they can approach for help, advice and guidance. Zhiyu is one of those people in an organisation that will help galvanise a project with enthusiasm, humour and talent – which is infections across the team and the organisation. Its been a joy to work with him, both in terms of being a technologist and a professional. I look forward very much to the opportunity to work with Zhiyu again.

Awards

Skills

Machine Learning
PyTorch
PyTorch Lightning
PyTorch Geometric
NumPy
Pandas
Scikit-Learn
Visualization
Matplotlib
Seaborn
Plotly
Programming Languages
Python
JavaScript
Java
C++
R
High Performance Computing
SLURM
WandB
TensorBoard

Interests

Computer Science
Geometric Deep Learning
Large Language Models
AI for Science
AI for Healthcare
Biology
Protein Design
Drug Development
Single-cell Sequencing
Healthcare
Electronic Health Records
Physical Signals
Precision Health

Certificates

Build Your Own Chatbot
IBM SkillsBuild 2022-12-19

Languages

Chinese
Native speaker
English
Full professional proficiency