Jia Guo

I'm a Quantitative Researcher at Nebula Research. I obtained my Ph.D. in Biostatistics from Columbia University Mailman School of Public Health. My research interests focus on deep learning models, natural language processing (NLP), quantitative models for Alpha discovery, and statistical genetics. 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

Distillfolio ↗ Live · Updated Daily

A systematic portfolio construction tool that distills nine alternative data signals into a daily composite score for 3,000+ US equities, powering a long/short portfolio.

EggBomb (掼蛋) ↗ Live · Multiplayer

A real-time multiplayer web implementation of the Chinese card game Guan Dan, built with a shared TypeScript codebase across client and server.

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