cv

Here is my CV, updated in Dec 2024.

Basics

Name Xiaochen Zhu
Label PhD Student in Computer Science 2023-2027(Exp.)
Email xz479 [at] cam.ac.uk

Education

  • 2023.10 - Present

    Cambridge, UK

    PhD
    University of Cambridge
    Natural Language Processing
  • 2022.10 - 2023.05

    Cambridge, UK

    MPhil
    University of Cambridge
    Advanced Computer Science
    • Machine Learning for Natural Language Processing
    • Computational Semantics
    • Natural Language Syntax and Parsing
    • Representation Learning on Graphs and Networks
    • Advanced Topics in Machine Learning
  • 2018.09 - 2022.05

    Edinburgh, UK

    BSc
    University of Edinburgh
    Artificial Intelligence and Computer Science
    • Machine Learning and Pattern Recognition
    • Natural Language Generation and Machine Translation
    • Discrete Mathematics and Mathematical Reasoning
    • Introduction to Quantum Computing
    • Computer Systems and Security
    • Automated Reasoning

Awards

  • 2024.06.29
    AWS Challenge Winner, LLM x Law Hackathon
    LLM X Law Hackathon, Stanford CodeX Initiative
    Developed AI paralegal using RAG-based LLMs, Precedent AI, with accurate predictions and compliance auditing feature. Won the Amazon AWS Challenge and first prize securing a £ 10,000 award and potential venture investments.
  • 2024.06.11
    Best Research Pitch
    Centre for Human-Inspired AI, University of Cambridge
    Presented 'Latent Diffusion-Based Multi-party Dialogue Simulation' at the CHIA conference and won the Best Pitch Award.
  • 2018.08.01
    Top Team Award, IRIS Project
    Asia-Pacific Innovation Academy
    Led the start-up 'IRIS', developing AI-driven pre-screening tools for primary healthcare. Secured the Top Team Award for innovation.

Work

  • 2020.06 - 2020.10
    Research Intern
    Henrich Heine University Düsseldorf
    Evaluated and improved dialogue system frameworks, resolving issues in generation components and randomness in evaluations. Designed a web interface for cross-evaluations and deployed large-scale human evaluation environments via Amazon Mechanical Turk.

Skills

Programming Languages
Python (Experienced with PyTorch, Huggingface, Deepseed, Pytorch-Lightning, etc.)
Java, JavaScript, Haskell, C, MIPS
Isabelle (For Formal Verification and Proofs)
Natural Languages
English (Proficient)
Madarin Chinese (Native)
German (Intermediate / Ein bisschen)