Hyebin Song
Assistant Professor of Statistics
-
414 Thomas`
University Park, PA - hps5320@psu.edu
- 814-865-3631
Most Recent Publications
Multivariate moment least-squares estimators for reversible Markov chains
Hyebin Song, S Berg, Journal of Computational and Graphical Statistics
Inferring protein fitness landscapes from laboratory evolution experiments
Sameer D'Costa, Emily Hinds, Chase Freschlin, Hyebin Song, Philip Romero, PLOS Computational Biology on p. e1010956
Protein misfolding involving entanglements provides a structural explanation for the origin of stretched-exponential refolding kinetics
Yang Jiang, Yingzi Xia, Ian Sitarik, Piyoosh Sharma, Hyebin Song, Stephen D. Fried, Edward P. O’Brien, 2025, Science advances
Multivariate Moment Least-Squares Variance Estimators for Reversible Markov Chains
hyebin song, Stephen Berg, 2025, Journal of Computational and Graphical Statistics on p. 409-421
Non-covalent Lasso Entanglements in Folded Proteins: Prevalence, Functional Implications, and Evolutionary Significance
Viraj Rana, Ian Sitarik, Justin Petucci, Yang Jiang, Hyebin Song, Edward P. O'Brien, 2024, Journal of Molecular Biology on p. 168459
EFFICIENT SHAPE-CONSTRAINED INFERENCE FOR THE AUTOCOVARIANCE SEQUENCE FROM A REVERSIBLE MARKOV CHAIN
Stephen Berg, hyebin song, 2023, Annals of Statistics on p. 2440-2470
Inferring protein fitness landscapes from laboratory evolution experiments
Sameer D’Costa, Emily C. Hinds, Chase R. Freschlin, Hyebin Song, Philip A. Romero, 2023, PLoS Computational Biology
Nurd: Negative-unlabeled learning for online datacenter straggler prediction
Yi Ding, Avinash Rao, Hyebin Song, Rebecca Willett, Henry Hoffmann, 2022, Proceedings of Machine Learning and Systems on p. 190--203
Convergence guarantee for the sparse monotone single index model<sup>∗</sup>
Ran Dai, Hyebin Song, Rina Foygel Barber, Garvesh Raskutti, 2022, Electronic Journal of Statistics on p. 4449-4496
Prediction in the Presence of Response-Dependent Missing Labels
Hyebin Song, Garvesh Raskutti, Rebecca Willett, 2021, on p. 451-455
Most-Cited Papers
Inferring Protein Sequence-Function Relationships with Large-Scale Positive-Unlabeled Learning
Hyebin Song, Bennett J. Bremer, Emily C. Hinds, Garvesh Raskutti, Philip A. Romero, 2021, Cell Systems on p. 92-101.e8
PUlasso: High-Dimensional Variable Selection With Presence-Only Data
Hyebin Song, Garvesh Raskutti, 2020, Journal of the American Statistical Association on p. 334-347
Inferring protein fitness landscapes from laboratory evolution experiments
Sameer D’Costa, Emily C. Hinds, Chase R. Freschlin, Hyebin Song, Philip A. Romero, 2023, PLoS Computational Biology
Convex and non-convex approaches for statistical inference with class-conditional noisy labels
Hyebin Song, Ran Dai, Garvesh Raskutti, Rina Foygel Barber, 2020, Journal of Machine Learning Research
Convex and non-convex approaches for statistical inference with class-conditional noisy labels
Hyebin Song, Ran Dai, Garvesh Raskutti, Rina Foygel Barber, 2020, Journal of Machine Learning Research
EFFICIENT SHAPE-CONSTRAINED INFERENCE FOR THE AUTOCOVARIANCE SEQUENCE FROM A REVERSIBLE MARKOV CHAIN
Stephen Berg, hyebin song, 2023, Annals of Statistics on p. 2440-2470
Non-covalent Lasso Entanglements in Folded Proteins: Prevalence, Functional Implications, and Evolutionary Significance
Viraj Rana, Ian Sitarik, Justin Petucci, Yang Jiang, Hyebin Song, Edward P. O'Brien, 2024, Journal of Molecular Biology on p. 168459
Convergence guarantee for the sparse monotone single index model<sup>∗</sup>
Ran Dai, Hyebin Song, Rina Foygel Barber, Garvesh Raskutti, 2022, Electronic Journal of Statistics on p. 4449-4496
Protein misfolding involving entanglements provides a structural explanation for the origin of stretched-exponential refolding kinetics
Yang Jiang, Yingzi Xia, Ian Sitarik, Piyoosh Sharma, Hyebin Song, Stephen D. Fried, Edward P. O’Brien, 2025, Science advances
Multivariate Moment Least-Squares Variance Estimators for Reversible Markov Chains
hyebin song, Stephen Berg, 2025, Journal of Computational and Graphical Statistics on p. 409-421
News Articles Featuring Hyebin Song
Apr 09, 2025
NCEMS working groups to answer molecular and cellular bioscience questions
The U.S. National Science Foundation National Synthesis Center for Emergence in the Molecular and Cellular Sciences at Penn State aims to drive multidisciplinary collaboration utilizing publicly available research data.
Full Article
Mar 14, 2025
Protein accidentally lassos itself, helping explain unusual refolding behavior
New study demonstrates a potential protein misfolding mechanism that could solve a decades-old mystery of why some proteins refold in a different pattern than expected.
Full Article
Jul 06, 2025
A 25-Year Mystery Solved: Scientists Discover Why Some Proteins Fold the “Wrong” Way
A new study reveals a possible protein misfolding mechanism that may resolve a long-standing mystery of why certain proteins refold into unexpected patterns.
Full Article