Education

Yale University
Ph.D. in Electrical and Computer Engineering
Advisor: Leandros Tassiulas
Aug 2024 - Present

Yale University
M.Sc. in Electrical and Computer Engineering
Aug 2024 - May 2026

• GPA: 4.0 / 4.0
• Courses: Deep Learning for Graph-Structured Data, Intermediate Machine Learning, Building Distributed Systems, Network Algorithms and Stochastic Optimization, Deep Learning Theory and Applications, Trustworthy Deep Learning, and related topics.

Imperial College London
M.Eng. in Electronic and Information Engineering
Sept 2020 - June 2024

• Grade: First Class Honors, Dean’s List Prize Years 1-3
• Courses: Machine Learning, Deep Learning, Optimization, Computer Vision and Pattern Recognition, Signal Processing and Machine Learning for Finance, Mathematics for Machine Learning, Communications Networks, and related topics.

Teaching Experience

ECE 4551 / 9631 Network Algorithms and Stochastic Optimization
Graduate Teaching Assistant, Yale University, Spring 2026

• Topics: stochastic network models, resource allocation and scheduling, routing and flow control, Markov Decision Processes, reinforcement learning, wireless and cloud network systems.

ECE 2020 Introduction to Communications and Control
Graduate Teaching Assistant, Yale University, Fall 2025

• Topics: coding theory, information theory, network systems, signal processing, machine learning, and statistics.