Time Series Decomposition of Continuous Flow Cytometry Reveals Biogeographical Variation in Population-Specific Productivity of Small Phytoplankton
Submitted (2026)
Fine tuning of TCR signaling via CD8αβ and PD-1 and the fate of autoreactive thymocytes during negative selection
Martha C Zúñiga, Sangwon Hyun et al. Immunohorizons (2026)
Change Point Detection for Cell Populations Measured via Flow Cytometry
Yik Lun Kei, Qi Wang, Paul A. Parker, Francois Ribalet, Sangwon Hyun Submitted (2025)
Defining 3-dimensional marine provinces with phytoplankton compositions
Rafael Catoia Pulgrossi, Nathan L R Williams, Yubin Raut, Jed Fuhrman, Sangwon Hyun Submitted (2025)
Mixtures of Neural Network Experts with Application to Phytoplankton Flow Cytometry Data
Ethan Pawl, François Ribalet, Paul A Parker, Sangwon Hyun Submitted (2025)
Subcellular proteome niche discovery using semi-supervised functional clustering
Ziyue Zheng, Loay J Jabre, Matthew McIlvin, Mak A Saito, Sangwon Hyun Submitted (2025)
Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data
Sangwon Hyun, Tim Coleman, Francois Ribalet, Jacob Bien Submitted (2025)
Identification of Microbial Metabolic Functional Guilds from Large Genomic Datasets
Ryan Reynolds, Sangwon Hyun, Benjamin Tully, Jacob Bien, Naomi M. Levine Frontiers in Microbiology (2023)
Density-based Approaches to Evaluate Biogeochemical Models by Satellite Derived Chlorophyll
Bror F. Jönsson, Christopher L. Follett, Jacob Bien, Stephanie Dutkiewicz, Sangwon Hyun, Gemma Kulk, Gael Forget, Christian L. Müller, Marie-Fanny Racault, Christopher N. Hill, Thomas Jackson, Shubha Sathyendranath Geoscientific Model Development (2023)
Modeling Cell Populations Measured By Flow Cytometry With Covariates Using Sparse Mixture of Regressions
Sangwon Hyun, Mattias Rolf Cape, François Ribalet, Jacob Bien Annals of Applied Statistics (2023)
Ocean Mover’s Distance: Using Optimal Transport for Analyzing Oceanographic Data
Sangwon Hyun, Aditya Mishra, Christopher L. Follett Bror Jonsson, Gemma Kulk, Gael Forget, Marie-Fanny Racault, Thomas Jackson, Stephanie Dutkiewic, Christian L. Müller, and Jacob Bien Proceedings of the Royal Society A (2022)
A Flexible Bayesian Approach to Estimating Size-structured Matrix Population Models
Kristof Glauninger, Jann Paul Mattern, Greg Britten, John Casey, Sangwon Hyun, Zhen Wu, E. Virginia Armbrust, Zaid Harchaoui, François Ribalet PLOS Computational Biology (2021)
Post-selection Inference for Changepoint Detection Algorithms with Application to Copy Number Variation Data
Sangwon Hyun, Kevin Lin, Max G'Sell, Ryan Tibshirani Biometrics (2020)
Exact Post-Selection Inference for the Generalized Lasso Path
Sangwon Hyun, Max G'Sell, Ryan Tibshirani Electronic Journal of Statistics (2018)
An Open Repository of Real-Time COVID-19 Indicators
Various authors Proceedings of the National Academy of Sciences (2021)
Can Auxiliary Indicators Improve COVID-19 Forecasting and Hotspot Prediction?
Daniel J. McDonald, Jacob Bien, Alden Green, Addison J. Hu, Nat DeFries, Sangwon Hyun, Natalia L. Oliveira, James Sharpnack, Jingjing Tang, Robert Tibshirani, Valérie Ventura, Larry Wasserman, Ryan Tibshirani Proceedings of the National Academy of Sciences (2021)
Nonmechanistic Forecasts of Seasonal Influenza with Iterative One-week-ahead Distributions
Logan Brooks, David Farrow, Sangwon Hyun, Ryan Tibshirani, Roni Rosenfeld PLOS Computational Biology (2018)
A Human Judgment Approach to Epidemiological Forecasting
David Farrow, Logan Brooks, Sangwon Hyun, Ryan Tibshirani, Donald S. Burke PLOS Computational Biology (2017)
Flexible Modeling of Epidemics with an Empirical Bayes Framework
Logan Brooks, David Farrow, Sangwon Hyun, Ryan Tibshirani, Roni Rosenfeld PLOS Computational Biology (2015)
Risk of Dengue for Tourists and Teams during the World Cup 2014 in Brazil
Wilbert Van Panhuis, Sangwon Hyun, Kayleigh Blaney, Ernesto T. A. Marques Jr, Giovanini E. Coelho, João Bosco Siqueira Jr, Ryan Tibshirani, Jarbas B. da Silva Jr, Roni Rosenfeld PLOS Neglected Tropical Diseases (2014)
Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016
Various authors Scientific Reports (2019)
Results from the Second Year of a Collaborative Effort to Forecast Influenza Seasons in the United States
Various authors Epidemics (2018)
An Open Challenge to Advance Probabilistic Forecasting for Dengue Epidemics
Various authors Proceedings of the National Academy of Sciences (2019)