Jia Guo

I'm a Research Data Scientist at Google. I obtained my Ph.D. in Biostatistics from Columbia University Mailman School of Public Health. My research interests focus on deep learning, natural language processing (NLP), user behavior modeling, quantitative models for Alpha discovery, and biomedical research. More about me.

Selected Publications

• Guo, J., Kiryluk, K., & Wang, S. (2024). PheW²P2V: a phenome-wide prediction framework with weighted patient representations using electronic health records. JAMIA Open, 7(3), ooae084.
• Guo, J., Riley, K. W., Durham, T., Margolis A. E., Wang, S., Perera, F., & Herbstman, J. B. (2022). Association studies of environmental exposures, DNA methylation and children's cognitive, behavioral, and mental health problems. Frontiers in genetics, 13, 871820.
• Guo, J., Lin, W. H. W., Zucker, J. E., Nandakumar, R., Uhlemann, A. C., Wang, S., & Shivakoti, R. (2022). Inflammation and mortality in COVID-19 hospitalized patients with and without type 2 diabetes. The Journal of Clinical Endocrinology & Metabolism, 107(5), e1961-e1968.
• Guo, J., Yuan, C., Shang, N., Zheng, T., Bello, N. A., Kiryluk, K., Weng, C., & Wang, S. (2021). Similarity-based health risk prediction using domain fusion and electronic health records data. Journal of biomedical informatics, 116, 103711.

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Selected Projects

Trialchemy ↗ Live · Open Source

An open-source workbench for clinical trial design and simulation. Provides 20 designs across 7 families with a cross-design view that lets researchers compare methodologies under the same scientific objective.

EggBomb (掼蛋) ↗ Live · Multiplayer

A real-time multiplayer web implementation of the Chinese card game Guan Dan, with an ISMCTS-powered AI bot to fill empty seats. Built with a shared TypeScript codebase across client and server.

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