Zhongyi (James) Guo 过仲懿🌈
About Me | Education | Publications | Experience | Technical Summary | Personal Life ↗
Get In Touch
outreach at gzy1s dot me
M+P-AMA-DG1J (text me to set up a call)
Skill Set
🤖 Machine Learning
👨🏻💻 Data Science
📊 Statistical Modeling
📝 Grant Proposal Writing
🖥️ High Performance Computing
Certifications
SAS
Coursera Badges & Courses
DeepLearning.AI
IBM AI Engineering
Stanford
Languages
- English
- Mandarin
Log
03/26/2026: Added animation and redesigned homepage layout by vide coding using Claude.
11/20/2024: Updated research experience. I will update project experience and work experience shortly.
11/12/2024: Minor updates applied to the certification section.
08/12/2024: I redesigned my website. Now I'm slowing migrating project experience and work experience over.
About Me
My name is James Guo 过仲懿. I am a Wuxiness (无锡人🇨🇳) living in 🇺🇸. My research focused on applying AI and statistical methods to solve health-related problems.
My personal life:
- laid-back body building
- laid-back swimming
- MORE on my Instagram ↗!
Please keep in touch. Thanks!
Education
Publications
[1] Shin, J.‡, Brady, E.‡, Chen, C., Lauderdale, K., Agrawal, A., Zhang, Y., Jiang, X., Nambiar, P., Herbert, J., Mallen, D., Ly, K., Guo, Z., Sant, C., Thomas, R., Miller, S., Cobos, I., Palop, J.. APOE4 and Aβ synergize to drive neuronal network dysfunction and lysosomal-ER proteostasis dysregulation in the preclinical stages of Alzheimer’s disease, Nature Neuroscience, 2025. Submitted ↗
[2] Poster session presenter and first author, Causal effect of type II diabetes on prostate cancer in the East Asian population: A two-sample Mendelian randomization study, AACR Special Conference: Aging and Cancer, 2022. Published ↗
Manuscripts in preparation
[1] (Aiming for BMC Medicine) Guo, Z.‡, Chen, D.‡, Stopsack, K. H., Soule, P., Ajit, D., Ramamoorthy, P., Hoffmann, T. J., Chan, J. M., Mucci L. A., Graff, R. E.. Metabolomic Disparities Between Black and Non-Hispanic White Men with Metastatic Hormone-Sensitive Prostate Cancer: A Pilot Study.
[2] (Aiming for Cell) Qu, P., Wang, T., Jessa, S., Guo, Z., Guo, H., Purmann, C., Monte, E., Jiang, L., Yang, X., Zhou, B., Kundu, S., Kundaje, A., Wong, W., Hallmayer, J. F., Urban, A. E., Snyder, M. P.. Multi-modal functional genomics analysis of bipolar disorder and schizophrenia. (Title is tentative.)
[3] (Aiming for Nature Neuroscience) Sant, C., Guo, Z., Corces, M. R.. Preventing false discoveries in Alzheimer’s disease single-cell sequencing data using permutation testing. (Title is tentative.)
‡ indicates co-first authorship.
Experience
Figure Source: Science 2024 · Cell 2021
Joined the PsychENCODE project at Prof. Anshul Kundaje's lab. Analyzed scRNA-seq and scATAC-seq multiome data from 3 brain regions to investigate cell-type-specific chromatin accessibility and gene expression patterns underlying schizophrenia (SCZ) and bipolar disorder (BPD).
- Pre-processed multiome data: QC, dimensionality reduction, cell clustering, doublet removal, and marker gene detection.
- Ran differential gene expression & peak accessibility analyses (pseudobulk DESeq2; single-cell Wilcoxon + MAST) across cell types stratified by sex and disease.
- Cross-referencing ChromBPNet outputs to identify causal disease variants and their downstream effects on gene regulation.
Figure Source: NCI 2019 · Cancer Letters 2022
Black men face disproportionately higher prostate cancer incidence and mortality. This project leverages LC-MS metabolomics on a cohort of 34 men (17 Black, 17 White) from the IRONMAN Registry to uncover underlying metabolomic disparities. Manuscript in preparation — also my Master's thesis.
- Applied ChemRICH (three custom methods), PCA, PLS-DA, Random Forest, SVM, and logistic regression to identify key contributing metabolites.
- Built WGCNA co-expression networks and used limma differential analysis to isolate aging-influenced metabolites.
- Pioneered an R package with a permutation-test pipeline to reduce false positives in scRNA-seq differential gene expression analysis of Alzheimer's disease, integrating eight public Synapse datasets.
- Applied AlphaGenome to study how MAPT gene variants alter splicing patterns.
- Removed doublets, performed dimensionality reduction & clustering of scATAC-seq data in ArchR.
- Revised the Enhanced Interests feature in SwiftUI, letting users personalize tags with text and emojis for richer self-expression.
- Improved code efficiency by migrating UIKit components to SwiftUI and streamlined A/B testing.
- Scraped e-commerce sales data with Python and built linear regression models via Sklearn to forecast sales trends across product categories.
- Delivered an evidence-based marketing report with Matplotlib visualizations.
Led discussions, graded homework and exams, held office hours, and proofread problem sets before release.
Graded homework and exams.
Led discussions, graded work, held office hours, and bridged communication between professors and students.
CRISPR/Cas9 knockout work on fruit flies; guided 20 students in mutation analysis on the UCSC Genome Browser.
Technical Summary
Programming Languages
R
Python
Java
Javascript
Swift
Markup/Styling Languages
HTML
CSS
LaTeX
IDEs
ipynb
RStudio
Overleaf
VS Code
Pycharm
Xcode
SAS OnDemand
Eclipse
Command-Line Tools
UNIX
Terminal
Secure Shell
AWS EC2
Conda Env
Claude
Version Control
Git
GitHub
Visual Display
Illustrator
Photoshop
Procreate
After Effect