CV
EDUCATION
Duke Kunshan University (DKU) & Duke University Dual Degree
B.S. in Applied Math & Computational Science; Computer Science Track (DKU)
B.S. in Interdisciplinary Studies; Applied Math & Computational Science; Computer Science (Duke)
Class of 2026
Kunshan, China
Durham, U.S.
- GPA: 3.8/4.0; Dean’s List with Distinction (24FA, 24SP), Dean’s List (23FA)
- Courses: Deep Learning (A+), Matrix, Graph, and Network Analysis (A+), Elements of Machine Learning (A+), Intro to Databases (A+), Intro to Comp Science (A+), Calculus (A+), Integrated Science - Biology (A+), etc.
- Service: Resident Assistant, Kunshan Student Orientation Peers, Kendo Club Training Leader, etc.
PROJECTS
qqgjyx.com/mheatmap 
- A Python package for advanced heatmap visualization and matrix analysis, featuring mosaic heatmap, confusion matrix post-processing, and spectral reordering capabilities.
qqgjyx.com/pysgtsnepi 
- A Python implementation of the SG-t-SNE-Π algorithm for dimensionality reduction and visualization.
PUBLICATIONS
Shu Kit Eric Tam, Juntang Wang, Sze Chai Kwok. (2025). "Can the mammalian circadian system adapt to the Martian photoperiod?" The 34th Annual Computational Neuroscience Meeting (CNS 2025).
[TBD] Juntang Wang, Hao Wu, Runkun Guo, Yihan Wang, Dongmian Zou, Shixin Xu (2025). "GraMixC: Multi-resolution Graph-based Clustering for Downstream Prediction." 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1(1).
Yihan Wang†, Juntang Wang†, Xinze Xu, Yihen Han, Qinyi Chen, Ghulam Hussain, Xiawa Wang. (2025). "Analyzing Temperature-Induced Phase Transitions in LK-99 (Pb₁₀₋ₓCuₓ(PO₄)₆O)." 17th International conference on materials chemistry (MC17).
RESEARCH EXPERIENCE
Graph-based unsupervised methods for time-series analysis
Signature Work @ DKU, PI: Prof. Shixin Xu
Mar - Dec 2025
Kunshan, China
- Excelled in a series of capstones and milestones courses.
- Produced 1 conference paper as side product in the early stage.
Classifying vigilance states in mouse EEG/EMG data
Summer Research Scholar @ DKU, PI: Prof. Shu Kit Eric Tam & Prof. Sze Chai Kwok
Mar - July 2025
Kunshan, China
- Developed scripts and implemented automated classification of vigilance states in mouse EEG/EMG data.
- Produced 1 conference paper.
Unsupervised segmentation for hyperspectral images
Summer Research, RINDSTU @ Duke, PI: Prof. Xiaobai Sun, Prof. Nikos Pitsianis & Dimitrios Floros
June - Dec 2024
Durham, NC
- Achieved state-of-the-art on unsupervised segmentation in hyperspectral images.
- Highly praised by PI. Delivered 1 presentation. Proceeding 1 manuscript and 1 thesis.
Data-driven model for AIS reperfusion decision-making
Research Assistant @ DKU, PI: Prof. Shixin Xu
Mar - June 2024
Kunshan, China
- Milestoned a novel ODE/Kernel method for pwiMRI presurgery diagnosis for acute hemorrhagic.
- Empowered a Kunshan Government-funded project.
Photon & exciton dynamics, photoluminescence, and superconductivity
Research Independent Study @ DKU, PI: Prof. Xiawa Wang
Jan - May 2024
Kunshan, China
- Achieved A grades in 4 RINSDSTU courses spanning freshman to junior year.
- Produced 1 conference paper. Developed scripts for DFT, nSCF, Raman, and PL shift analysis.
SKILLS
Programming: Python · MATLAB · Julia · Wolfram · Java · C/C++ · C# · R · Bash
Development: PostgreSQL · MongoDB · HTML/CSS · Cloudflare
Other Tools: LaTeX · Markdown · AIGC tools · Adobe Creative Suite · Unity
Languages: English (Fluent) · Mandarin (Native) · Japanese · French
TEACHING
WORK EXPERIENCE
Product Analyst, Intern
Second DX Division, NTT Data
July - Aug 2023
Wuxi, China
- Produced a field report on software-related companies. Exceled N1 Japanese training.
- Highly praised by a Chinese Academy of Sciences lab director.
Banker, Intern
Business Department, Bank of Huaxia
Jun - July 2023
Suzhou, China
- Perfectly completed 50+ audit reports, conducted in-depth industry research.
- Assisted in the loan department. Highly praised by the Bank Chairman.
Barista
Double-win Coffee
Jun - Aug 2022
Shanghai, China
- Interests: ACG, cooking, guitar, gym.
