Xu, Y., Düker, M. C., & Matteson, D. S. (2023). Testing Simultaneous Diagonalizability. Journal of the American Statistical Association. doi: 10.1080/01621459.2023.2202435.
Xu, Y., Thomas, A. M., Crozier, P. A., & Matteson, D. S. (2023). Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation. arXiv preprint arXiv:2302.00816.
Manzorro, R., Xu, Y., Vincent, J., Rivera, R., Matteson, D., & Crozier, P. (2022). Exploring Blob Detection to Determine Atomic Column Positions and Intensities in Time-Resolved TEM Images with Ultra-Low Signal-to-Noise. Microscopy and Microanalysis, 28 (6), 1917-1930. doi:10.1017/S1431927622000356.
Thomas, A. M., Crozier, P. A., Xu, Y., & Matteson, D. S. (2023). Feature Detection and Hypothesis Testing for Extremely Noisy Nanoparticle Images using Topological Data Analysis. Techonometrics. doi: 10.1080/00401706.2023.2203744.
Goolsby, C., Losey, J., Xu, Y., Düker, M. C., Sherman, M. G., Matteson, D. S., & Moradi, M. (2021). Addressing the Embeddability Problem in Transition Rate Estimation. Journal of Physical Chemistry A, 127 (27), 5745-5759. doi: 10.1021/acs.jpca.3c01367.
Contributed. Conference on Advances in Time Series Analysis, Speedy Session. May 2023. Chicago, IL.
Contributed & Poster. Joint Statistical Meeting (JSM), Business and Economic Statistics Section, Speed Session. July 2019. Denver, CO.
Poster. Cornell Celebration of Statistics and Data Science, Poster Session. Sept 2019. Ithaca, NY.
Contributed. UPSTAT 2021 Conference, Parallel Session, Bronze Medal Presenter. Apr 2021. (Virtual) Rochester, NY.
Contributed. The 37th SIDIM, Data Science in Science Minisymposia, Parallel Session. Feb 2022. (Virtual) Puerto Rico.
Contributed. 2022 INFORMS Annual Meeting, Science-Integrated Statistical Learning Section, Technical Session. Oct 2022. Indianapolis, IN.
Poster. 2022 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), Poster Session, Best Student Poster Award. Nov 2022. (Hybrid) Rochester, NY.
HDR
Catalyst Project | Nov 2019 - Present | Ithaca, NY
Collaborate with groups of:
Prof. Roberto Rivera: propose and adapt hidden Markov models to dynamically cluster nanoparticle atomic structural configurations.
Prof. Peter A. Crozier: adapt blob detection algorithm to extract locations and intensities of atomic columns.
Prof. Mahmoud Moradi: refine the estimators of Markov chain transition rate matrices from transition probability matrices.
Heart Failure Project | Dec 2021 - Present | Ithaca, NY
Collaborate with New York-Presbyterian
(NYP) Hospital to conduct patients’ heart failure inference from
Electrocardiograms (ECG) data with other hospital-visit
records.
Thyroid Cancer Project | Dec 2022 - Present | Ithaca, NY
Collaborate with Denise Lee, MD
to predict Differentiated Thyroid Cancer (DTC) recurrence.