jueguo@buffalo.edu · github.com/COD1995 · LinkedIn · Download PDF

Profile

Ph.D. candidate in Computer Science at the University at Buffalo, advised by Prof. A. Erdem Sariyüce. My research is in machine learning — image classification, natural language processing, continual learning, and adversarial / medical imaging. I teach graduate and undergraduate courses across deep learning, pattern recognition, and algorithm analysis, and I work day-to-day in Python and PyTorch.

Education

2020 — 2026
expected

Ph.D., Computer Science

University at Buffalo, SUNY

Advisor: A. Erdem Sariyüce

Experience

Jul 2023 —
Present

Adjunct Faculty

University at Buffalo, School of Engineering & Applied Sciences

  • Teach graduate and undergraduate courses spanning deep learning, pattern recognition, and algorithm analysis.
  • Develop curricula that pair theoretical foundations with hands-on lab work in PyTorch.
  • Mentor graduate students on research projects and academic writing in machine learning.
Nov 2025 —
Present

Lead STEM Instructor Part-time

WhyMaker

  • Lead STEM education initiatives in physics and emerging technology.
  • Run hands-on workshops in partnership with the New York Power Authority.
  • Designed a bootcamp introducing students to AI applications in drone technology.
Aug 2022 —
Jun 2023

Graduate Teaching Assistant

University at Buffalo

  • Led recitation sessions and one-on-one mentoring for 200+ students in machine and deep learning courses.
  • Held office hours covering backpropagation, CNNs, LLMs, regularization, and optimization.
May 2019 —
Jul 2020

Machine Learning Researcher

Zhejiang University · Hangzhou, China

  • Built a deep-learning bone-age detection system using CNNs for orthopedic diagnostics.
  • Deployed at the No. 1 People's Hospital, Hangzhou.
Summer
2017 & 2018

Software Engineer Intern

Nanjing Onappure Tech

  • Maintained the water-quality database powering the Fresh Water, Rural China initiative; improved the report-alignment pipeline.
  • Modernized the corporate website (HTML / CSS / JavaScript). Recognized as Best Intern of Summer 2017.

Projects

Sep — Dec
2021

Multi-Human Pose Estimation

Bottom-up keypoint localization with graph-based grouping for 2D multi-person pose estimation.

Sep — Dec
2019

Course Registration Website

Led the development of a PHP-based course-registration system; iterated on user feedback to ship a functional product on a tight schedule.

Skills

Languages
Python · JavaScript · PHP · HTML / CSS
Machine learning
PyTorch · scikit-learn · NumPy
Tooling
Git / GitHub · Linux · LaTeX