CV

Research Assistant – Cascaded Conformal Prediction

UT Austin

• Studying mathematical methods for uncertainty quantification, with an emphasis on optimizing prediction efficiency under reliability and computational constraints
• Developed a two-stage analytical framework to improve the tradeoff between computational cost and prediction-set size
• Conducted theoretical analysis of the proposed framework, including information-theoretic characterization and threshold-based performance analysis

Research Assistant – Distributed Optimization with Privacy Guarantees

HKUST

• Studied privacy-aware distributed optimization methods for communication-constrained networked systems
• Designed an efficient parameter-update strategy to improve the balance between system performance, communication efficiency, and formal privacy guarantees
• Analyzed the impact of structural constraints on optimization performance and validated the proposed approach through numerical studies

Course Project – Optimization for Reconfigurable Beamforming Networks

HKUST

• Isolated and formulated the beamforming-current optimization problem for fluid antenna system design
• Developed a projected-gradient optimization algorithm to approximate the target Bessel correlation structure
• Derived the complex-domain gradient using Wirtinger/CR-calculus and implemented the column-normalized projection step

Research Assistant – Effects of Quantization in Distributed Learning Systems

HKUST

• Investigated the theoretical relationship between quantization, communication efficiency, and privacy guarantees in distributed systems
• Applied Rényi Differential Privacy to characterize privacy budgets under quantized Gaussian mechanisms
• Performed numerical evaluations to support the theoretical findings and assess practical system tradeoffs

Research Intern – Semester Project

EPFL – Digital Humanities Laboratory (DHLAB)

• Developed an algorithmic method for aligning historical maps of Paris
• Project involved geometric processing, computational analysis, and evaluation on digitized map data

Undergraduate Research – Projects in Audio Signal Processing

HKUST

• Worked on optimization-based methods for discrete-time audio signal processing
• Improved a wavelet-based speech processing algorithm for noisy environments and simulated hearing-loss conditions
• Developed a method for adjusting sub-band gains while preserving the overall signal energy

Research Assistant

PanopticAI

• Conducted literature reviews on contactless sensing, signal processing, and measurement methodologies
• Assisted in developing and refining computational methods for extracting useful information from visual signal data
• Evaluated algorithmic performance across multiple datasets to assess robustness, reliability, and practical limitations

Ph.D.

The University of Texas at Austin

Electrical and Computer Engineering

• Supervisor: Prof. Gustavo de Veciana
• GPA: 4.00/4.00
• Research focus: optimization, theoretical analysis, uncertainty quantification, and networked system design

MPhil

Hong Kong University of Science and Technology

Electronic and Computer Engineering

• Supervisor: Prof. Khaled B. Letaief
• GPA: 4.00/4.30
• Research focus: wireless communications, distributed optimization, and privacy-aware system design

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)

• One-semester exchange in the section of Mathematics
• Research semester project at the Digital Humanities Laboratory (DHLAB) on geometric processing of historical maps of Paris

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

HKUST

HKSAR Government Scholarship Fund – Talent Development Scholarship

HKSAR

HKUST School of Engineering Dean's List

HKUST