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About Me

Researcher, builder, and perpetual student — somewhere between data and discovery.

Bio

I'm Zibryn (Zhibin) Wang, a data science undergraduate at Xi'an Jiaotong-Liverpool University (XJTLU, 4+0 dual-degree with the University of Liverpool, Class of 2027). My research sits at the intersection of artificial intelligence and biomedicine — from single-cell foundation models to medical image segmentation, from computational chemistry to multimodal clinical AI.

I've had the privilege of working with NUS Yong Loo Lin School of Medicine, Tsinghua SIGS (Prof. Peiwu Qin's group), and HKUST(GZ) SIIE Lab; the ImmuneWorld project is a collaboration with the Beijing Institute of Technology School of Medical Technology, the First Affiliated Hospital of Wenzhou Medical University, and Fudan Huashan Hospital. Papers published / under review / in preparation span Nature Communications, Cyborg and Bionic Systems, Advanced Materials, and CA: A Cancer Journal for Clinicians (in preparation).

Beyond the lab, I'm a co-founder of a tech startup, a traveler who's explored 8+ countries across Asia and Europe, and someone who believes the best research comes from staying curious about everything — and an undergraduate preparing to apply for US MS (with thesis) programs in Fall 2027 / Spring 2028.

Education
2022 – 2027
XJTLU · University of Liverpool · Dual Degree
B.Sc. in Data Science (4+0 model)
Full undergraduate programme in Suzhou · Graduates with both XJTLU and University of Liverpool degrees · Top 5% in major (first two years) · Core math / stats courses 70-90
Aug – Sep 2024
University of Jyväskylä, Finland
Summer School
International exchange programme in Jyväskylä, Finland.
Jun – Jul 2024
Shanghai Jiao Tong University
Summer School (Online)
Online coursework through SJTU summer programme.
Research Experience
Nov 2024 – Present
NUS Yong Loo Lin School of Medicine
Research Intern · Advisor: Dr. Mingyang Jiang
Computational materials (DFT), medical imaging AI, single-cell foundation models. Co-leading the bone-tumor epidemiology project for CA: A Cancer Journal for Clinicians.
Sep 2025 – Present
Longhua Hospital, Shanghai University of TCM
Senior Thesis Research · Attending Physician Advisor (UCL Visiting Scholar)
Leading the multimodal TCM Four-Diagnosis agent project on an exclusive clinical dataset. Targeting Cyborg and Bionic Systems (IF 18.1) as first author.
Jun 2025 – Present
Beijing Institute of Technology · School of Medical Technology (Collaboration)
ImmuneWorld project contributor
Contributing to the foundation-model world simulator for the tumor immune microenvironment (Nature Communications under review, 4th author). Joint collaboration with the First Affiliated Hospital of Wenzhou Medical University and Fudan Huashan Hospital.
Sep 2024 – Feb 2025
HKUST(GZ) SIIE Lab
Research Assistant
IMU-based human pose estimation, diffusion-model priors, wearable signal modeling for rehabilitation medicine.
May 2024 – Sep 2024
Tsinghua SIGS · Shenzhen International Graduate School
Undergraduate Researcher · Prof. Peiwu Qin's group
DCE-MRI breast cancer spatiotemporal Transformer segmentation (RST2G), published in Cyborg and Bionic Systems.
May 2024 – Present
Multi-Center Bone Sarcoma Imaging Platform
Data pipeline · 6 Class-A hospitals
Compliant data ingestion and multi-center integration of bone-sarcoma imaging / pathology / follow-up records, providing the evidence base for the CA Cancer Journal review.
Feb 2025 – Jun 2025
Huadian Energy Research Center
Project Manager
Regional power load forecasting using LSTM, LightGBM, Prophet, and LLM-based semantic analysis. Achieved MAPE<3% and R²>0.97 across multiple scenarios.
Entrepreneurship
2023 – Present
Shenzhen Xinyu Zhilian Tech Co., Ltd.
Co-founder
Ed-tech direction · Cumulative net profit 1M+ RMB · Closed end-to-end product, ops, and go-to-market loop independently.
Skills & Tools

Programming Languages

Python C++ R SQL JavaScript / TypeScript Matlab LaTeX Bash

Deep Learning & Foundation Models

PyTorch Hugging Face Transformers DeepSpeed FlashAttention-2 Scikit-learn LightGBM / XGBoost Prophet Diffusion Models Single-Cell Foundation Models Medical Image Segmentation DFT

Infrastructure & Engineering

Linux CUDA Slurm Docker Git Astro VS Code
Application Targets

Goal: US MS with thesis (Fall 2027 / Spring 2028 entry), focused on Biomedical AI / Health Data Science / Biomedical Engineering, with a long-term aim of a PhD.

Target schools: Dartmouth, UT Austin, UCSD, and other Master's / PhD programmes with strong RA / TA support.

Currently preparing: TOEFL ~110 (Summer 2026) · GRE ~328 (at home) · 4 letters of recommendation (Class-A hospital attending physician, NUS PhD, XJTLU associate professor).

Fun Facts
  • National Level-2 Swimming Referee 🏊
  • Explored 8+ countries: Finland, Sweden, Germany, Singapore, Malaysia, and counting
  • Co-founder of a tech startup; ran an end-to-end commercial loop
  • Top 5% of major in the first two years; convinced curiosity is the principal of research compounding