Curriculum Vitae
Adjunct Faculty · University at Buffalo · Ph.D. candidate in Computer Science
jueguo@buffalo.edu · github.com/COD1995 · LinkedIn · Download PDF
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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
expected
Ph.D., Computer Science
University at Buffalo, SUNY
Experience
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.
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.
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.
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.
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
2021
Multi-Human Pose Estimation
Bottom-up keypoint localization with graph-based grouping for 2D multi-person pose estimation.
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