Zhongyi (James) Guo 过仲懿🌈
About Me | Education | Publications | Experience | Technical Summary | Personal Life ↗
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Skill Set
🤖 Machine Learning
🧠 Deep Learning
👨🏻💻 Data Science
📊 Statistical Modeling
📝 NIH Proposal Writing
📄 Shell Scripting
Certifications
SAS
Coursera Badges & Courses
DeepLearning.AI
IBM AI Engineering
Stanford
Languages
- English
- Mandarin
Log
08/12/2024: I redesigned my website. Now I'm slowing migrating project experience and work experience over.
About Me
I am Zhongyi (James) Guo, and my Chinese name is 过仲懿. I was born and raised in Wuxi (无锡 or 無錫). Now, I am a second-year MS student in Epidemiology and Clinical Research program at Stanford University in the United States.
In academia, my research interests focus on:
- Applying machine learning to study pathogenesis using -omics data.
- Addressing the racial disparity of prostate cancer using metabolomics.
Outside of academia, I am:
- an amateur body builder.
- a butterfly swimmer.
- a part-time model.
- and MORE on my Instagram ↗!
Please do not hesitate to contact me. Thanks!
Education
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Where will my next life chapter open?
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M.S., Epidemiology and Clinical Research, Stanford University est. 06/2025
GPA: 3.94/4.00 (by Spring 2024)
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B.S., Biological Sciences and Biometry & Statistics, Cornell University 05/2023
Concentrated in Computational Biology and Statistical Genetics.
GPA: 3.57/4.30, Honors: cum laude, Dean's List
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Exchange Student, School of Medicine, Tsinghua University Spring 2021
Cornell-Tsinghua Study-Away Program
GPA: 4.0/4.0
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Freshman at Case Western Reserve University 08/2019 - 05/2020
Majored in Biochemistry and transferred to Cornell University.
GPA: 4.0/4.0, Honor: Dean's List
Publications
More manuscript in preparation.
[1] 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. (2024). Metabolomic Disparities Between Black and Non-Hispanic White Men with Metastatic Hormone-Sensitive Prostate Cancer: A Pilot Study. (Manuscript in preparation)
[2] Lu, J., Guo, Z., & Rehkopf, D. H. (2024). Towards Causal Interpretation of Sexual Orientation in Regression Analysis: Applications and Challenges. Submitted to American Journal of Epidemiology. preprint ↗
[3] 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 ↗
‡ indicates co-first authorship.
Research
I'm experimenting with a more creative presentation. Please bear with this old-school box for now—thanks for your patience!
Project: Understanding Regulatory Genomics in Psychiatric Disorders Using ChromBPnet
This project aimed to study regulatory genomics of bipolar and schizophrenia at the single-cell level using transcriptomics and chromatin accessibility data. We used ChromBPNet ↗, a convolutional neural network (CNN) model that predicts chromatin accessibility at a base-pair resolution.
- Pre-processed the multiome dataset (scRNA-seq and scATAC-seq) using quality control, dimension reduction, annotation, cell clustering, and marker detection.
- Performed differential expression analyses on all cell types per brain region by sex and condition.
- Trained cell-type specific ChromBPNet models to predict chromatin accessibility in active regulatory regions.
Project: Exploring Black-White Racial Disparities of Prostate Cancer via LC-MS Metabolomics
This project aimed to study metabolic differences contributing to Black-White racial disparities in prostate cancer using LC-MS metabolomics using R.
- Discovered acyl carnitine derivatives and dicarboxylates as key contributors through chemical similarity enrichment analysis (ChemRICH) by designing and implementing three methods: sub- pathway information, correlation modules, and predicted Medical Subject Headings (MeSH) classes.
- Found corroborative contributors using PCA, PLS-DA, Random Forest, SVM, quantitative set enrichment, and pathway analysis using MetaboAnalystR.
- Identified up-regulated carnitine derivatives and dicarboxylic acids influenced by aging through differential expression analysis using limma, after successful network construction and module detection using WGCNA.
- Replicated and validated t-test results reported by Metabolon, Inc.
Teaching
- Led discussions, assessed homework and exams, held office hours, and proofread assignments and solutions before releasing.
- Assessed homework and exams.
- Created and stabilized knockout mutations on target gene of fruit flies using CRISPR/Cas9.
- Assisted with designing and cloning primers with sgRNA and guided 20 students in analyzing mutations vs. wildtype on the UCSC Genome Browser and in locating sgRNA transgenes.
- Led discussions, assessed homework and exams, held office hours, and proofread solutions.
Projects
Slowly updating...
Work
Slowly updating...
Technical Summary
Programming Languages
R
Python
Java
Swift
Markup/Styling Languages
HTML
CSS
LaTeX
Integrated Development Environments (IDEs)
ipynb
RStudio
Overleaf
SAS
Command-Line Tools
UNIX
Terminal
Secure Shell
Conda Env
Version Control
Git
GitHub