Yijin (Serena) Wang

Hi! I'm a PhD student in the Department of Biostatistics at Columbia University.

From 2020 to 2022 summer, I was a research fellow working with Prof. Evan Ray and Prof. Nick Reich in the COVID-19 Forecast Hub. I was also the lead developer of utility packages that are widely used in projects within the COVID-19 US Forecast Hub and the European Forecast Hub.

In 2020 spring, I earned my BA from Mount Holyoke College, where I double majored in Computer Science and Statistics. I worked on influenza forcasting with Prof. Evan Ray during my senior year. I am also grateful to have had the opportunity to work with Prof. Leontine Alkema at UMass Amherst, and Prof. Jianbo Lei at Peking Univerisity during my previous summer internships.

Click to Reveal Email  /  GitHub  /  Google Scholar  /  LinkedIn

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Research

I'm very interested in Statistical Learning in the health domain. My previous work at Reich Lab focused on developing tools to make real-time infectious disease forecasts.

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Assessing the utility of COVID-19 case reports as a leading indicator for hospitalization forecasting in the United States


Nicholas G. Reich, Yijin Wang, Meagan Burns, Rosa Ergas, Estee Y. Cramer, Evan L. Ray
Epidemics, 2023
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The United States COVID-19 Forecast Hub dataset


Estee Y Cramer*, Yuxin Huang*, Yijin Wang*, Evan L Ray, Matthew Cornell, Johannes Bracher, Andrea Brennen, Alvaro J Castro Rivadeneira, Aaron Gerding, Katie House, Dasuni Jayawardena, Abdul Hannan Kanji, Ayush Khandelwal, Khoa Le, Vidhi Mody, Vrushti Mody, Jarad Niemi, Ariane Stark, Apurv Shah, Nutcha Wattanchit, Martha W Zorn, Nicholas G Reich & US COVID-19 Forecast Hub Consortium
Scientific Data - Nature, 2022
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Poster for Epidemics 8
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Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States


Evan L Ray, Logan C Brooks, Jacob Bien, Matthew Biggerstaff, Nikos I Bosse, Johannes Bracher, Estee Y Cramer, Sebastian Funk, Aaron Gerding, Michael A Johansson, Aaron Rumack, Yijin Wang, Martha Zorn, Ryan J Tibshirani, Nicholas G Reich
International Journal of Forecasting, 2022
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Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States


Estee Y Cramer, Evan L Ray, Velma K Lopez, Johannes Bracher, ..., Yijin Wang, ..., Michael A. Johansson, Matthew Biggerstaff, Nicholas G Reich
Proceedings of the National Academy of Sciences, 2022
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Software Packages

Besides my research, I also collaborated on software for processing and analyzing data in COVID-19 Forecast Hub.

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covidHubUtils (R)


Utility functions for the COVID-19 Forecast Hub
Yijin Wang, Ariane Stark, Evan L Ray, Nikos I. Bosse, Khoa Le, Yuxin David Huang, Katharine Sherratt, Sebastian Funk, Nicholas G. Reich, Nutcha Wattanachit, Aaron Gerding, Dasuni Jayawardena
2020
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Design and source code from Leonid Keselman's Jekyll fork of Jon Barron's website