About
Welcome to my corner of the internet! I’m Xinyu (Brian) Guo — a passionate researcher, developer, and Ph.D. candidate in Computational Biology & Bioinformatics at USC.
My research focuses on the intersection of genomics, statistical learning, and deep learning, where I build tools that make sense of complex biological data and uncover patterns that drive disease and therapy insights.
I’m especially enthusiastic about novel technologies — from LLM-powered systems, to computer vision pipelines. For me, every new algorithm or platform isn’t just a tool, but a chance to explore, experiment, and create solutions that bridge science and real-world impact.
Outside of research, I enjoy exploring new hobbies that keep me equally curious. You can find me exploring the world through photography, capturing moments that tell stories about our shared human experiences.
Skills & Expertise
Research Areas
- • Computational Biology (single-cell, spatial transcriptomics, genomics)
- • Machine Learning & AI (self-supervised learning, LLMs)
- • Statistical Modeling (risk prediction, regression, meta-analysis)
- • Computer Vision (object detection, tracking, action recognition)
Technical Skills
- • R, Python, SQL, Java, HTML
- • PyTorch, scikit-learn, Bioconductor
- • Data scraping, dashboard building, predictive analytics
- • Single-cell & multi-omics pipelines
- • Git, cloud computing, HPC
Timeline
Present
Ph.D. Candidate in Computational Biology & Bioinformatics
University of Southern California
2022
ScM. in Biostatistics
Johns Hopkins University
2020
B.A. in Mathematics & Computer Science
Washington University in St. Louis