cv
Here is my CV, updated in Dec 2024.
Basics
Name | Xiaochen Zhu |
Label | PhD Student in Computer Science 2023-2027(Exp.) |
xz479 [at] cam.ac.uk |
Education
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2023.10 - Present Cambridge, UK
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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
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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
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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) |