CV

Research Assistant – Federated Finetuning with Differential Privacy

HKUST

• Designed a privacy-preserving split federated fine-tuning framework for large-scale AI models in wireless networks, leveraging differential privacy (DP) and low-rank adaptation (LoRA)
• Addressed noise amplification in cascaded LoRA architectures by updating one low-rank matrix while fixing the other as a scaled orthonormal matrix

Research Assistant – Effects of Quantization in Federated Learning

HKUST

• Explored the relationship between quantization and privacy in federated learning systems
• Employed Rényi Differential Privacy to derive privacy budgets for quantized Gaussian mechanisms
• Demonstrated that quantization mitigates privacy leakage through Membership Inference Attack

Research Assistant – Edge AI for 6G Wireless Communications (Final Year Thesis)

HKUST

• Conducted a comprehensive survey on edge learning, edge inference, and optimization algorithms for network resource allocation in future wireless networks

Research Intern – Semester Project

EPFL – Digital Humanities Laboratory (DHLAB)

• Developed an algorithm to automatically align historical maps of Paris; algorithm perfectly aligns vectorized maps 50% of the time
• Algorithm was reused in an EPFL master thesis in late 2022

Research Assistant

PanopticAI

• Investigated remote photoplethysmography (rPPG) for measuring vital signs via camera-detected skin color changes
• Generalized the codebase and tested algorithm performance across multiple datasets

Ph.D.

The University of Texas at Austin

Electrical and Computer Engineering

• Supervisor: Prof. Gustavo de Veciana
• Research focus: Large language model (LLM) inference and networked system design for efficient and distributed AI computation

MPhil

Hong Kong University of Science and Technology

Electronic and Computer Engineering

• Supervisor: Prof. Khaled B. Letaief
• GPA: 4.00/4.30

BEng

Hong Kong University of Science and Technology

Electronic Engineering & Mathematics

• GPA: 4.04/4.30, ranked 3/102
• Graduated with First Class Honors and Academic Achievement Medal

Exchange

École Polytechnique Fédérale de Lausanne (EPFL)

Mathematics (Exchange)

• GPA: 5.69/6.00
• Research semester project: Automatic vectorization and quantitative analysis of XIXth century maps of Paris (Digital Humanities Laboratory)

Postgraduate Studentship (PGS)

HKUST

Academic Achievement Medal (top 1% of graduates)

HKUST

Finalist – Mr Armin And Mrs Lillian Kitchell Undergraduate Research Award

HKUST

HKSAR Government Scholarship Fund – Reaching Out Award

HKSAR

University's Scholarship Scheme for Continuing Undergraduate Students (top 2% of all UG)

HKUST

HKSAR Government Scholarship Fund – Talent Development Scholarship

HKSAR

HKUST School of Engineering Dean's List

HKUST