Lingyun Chen

Ph.D. Student in Computer Engineering at NC State University

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About Me

I am a Ph.D. student in Computer Engineering at North Carolina State University (NCSU), working under the supervision of Dr. Do Young Eun. My research interests lie at the intersection of applied probability and machine learning, with a specific focus on Markov Chain Monte Carlo (MCMC), Distributed Optimization, and Generative AI.

Prior to joining NCSU, I earned my M.S. in Computer Engineering from NYU Tandon School of Engineering. I am passionate about leveraging theoretical insights to build scalable AI systems and solve complex network challenges.

Research & Technical Skills

MCMC Methods Generative AI Distributed Optimization Graph Analysis PyTorch LLMs Federated Learning Python Computer Vision C/C++ MATLAB Docker AWS

Resume

Academic & Work Experience

North Carolina State University

Graduate Research Assistant

Aug 2025 - Present

  • Conducting research on MCMC algorithms, distributed optimization, and large-scale network modeling under Dr. Do Young Eun.
  • Investigating sampling techniques for Generative AI and graph-based learning systems.

North Carolina State University

Teaching Assistant (ECE 209)

Aug 2025 - Present

  • Assisting in "Computer Systems Programming," covering C/C++, assembly language, and system-level programming concepts.

BioMap

Algorithm Intern, AI Engine R&D

Dec 2024 - Jan 2026

  • Contributed to the Xtrimo DNA pre-training model (BERT-based) by implementing the Masked Language Model (MLM) component.
  • Designed automated Python AI pipelines for DNA sequence data processing and model evaluation.

AdaSeco

AI Engineer, Chatbot Development

Jul 2024 - Sep 2024

  • Developed a customer support chatbot using LLMs and Retrieval Augmented Generation (RAG).
  • Optimized chatbot response time, reducing average latency by 30%.

Wissee Inc

AI Engineer, Graphic Generation

May 2024 - Aug 2024

  • Developed AIGC models (SDXL, ComfyUI) to generate clothing patterns based on social media trends.
  • Built a pattern database with MySQL and integrated Elasticsearch for efficient semantic search.

Education

North Carolina State University

Ph.D. in Computer Engineering

Aug 2025 - Present

New York University

M.S. in Computer Engineering

GPA: 3.7/4.0

Sep 2023 - May 2025

University of Kentucky

Exchange Program (Electrical Engineering)

GPA: 3.56/4.0 (Dean's List)

Aug 2021 - Jun 2022

Beijing University of Technology

B.S. in Electronic Science and Technology

Sep 2019 - Jul 2023

Featured Projects

MCMC Simulation Framework

Developing Python-based simulations for Metropolis-Adjusted Langevin Algorithm (MALA) and other advanced sampling techniques to analyze convergence rates in high-dimensional spaces.

Python NumPy MCMC Probability Theory

Speech Transcript Analysis Framework

Developed a PyQt6 desktop application providing a GUI for real-time speech transcript processing and generating summaries via LLMs, with bilingual support.

Python PyQt6 LLMs RAG

Federated Learning with Imbalanced Data

Investigated non-IID data distributions in FL, evaluating resampling techniques to improve model accuracy and fairness metrics across distributed nodes.

Federated Learning PyTorch Optimization

Automatic Labyrinth Localization

Applied YOLOv7 deep learning object detection model to localize complex structures within temporal bone CT scan images.

YOLOv7 Computer Vision Medical Imaging

Publications

Implementing and Evaluating Simple Resampling Techniques in Federated Learning for Imbalanced Data

The 6th International Conference on Computing and Data Science (CONF-CDS 2024)

September 12, 2024. Portsmouth, UK

View Publication

Detection of Marine Chemical Pollution Based on Image Processing and Machine Learning

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering (EITCE'22)

View Publication

Get in Touch

lychen5464@gmail.com
linkedin.com/in/lingyun--chen

Raleigh, North Carolina