Corinne Jones

Senior Data Scientist

Research

(Alumni)

Corinne joined the SDSC research team as a senior data scientist in December 2020. She graduated with a PhD in Statistics from the University of Washington in 2020. Her doctoral research focused on representation learning for partitioning problems. Prior to her PhD, she obtained bachelor's degrees in Math, Statistics, and Economics, along with a master's degree in Economics, from Penn State University. Her research interests include deep learning and kernel-based methods, with applications in fields ranging from computer vision to oceanography.

Projects

CLIMIS4AVAL

Completed

Real-time cleansing of snow and weather data for operational avalanche forecasting

Academia

4D-Brains

Completed

Extracting Activity from Large 4D Whole-Brain Image Datasets

Academia

EconMultiplex

Completed

Multiplex Networks in International Trade

Academia

Publications



Svoboda, J.; Ruesch, M.; Liechti, D.; Jones, C.; Volpi, M.; Zehnder, M.; Schweizer, J. "Towards deep-learning solutions for classification of automated snow height measurements (CleanSnow v1.0.2)" Geoscientific Model Development 18 5 1829-1849 2025 View publication 



Park, C. F.; Barzegar-Keshteli, M.; Korchagina, K.; Delrocq, A.; Susoy, V.; Jones, C. L.; Samuel, A. D. T.; Rahi, S. J. "Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation" Nature Methods 21 1 142-149 2024 View publication 



Svoboda, J.; Zehnder, M.; Ruesch, M.; Liechti, D.; Jones, C.; Volpi, M.; Rixen, C.; Schweizer, J. "Classification of Snow Depth Measurements for tracking plant phenological shifts in Alpine regions" NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning 2024 View publication 



Jones, C.; Roulet, V.; Harchaoui, Z. "Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods" Journal of Computational and Graphical Statistics 32 4 1237-1247 2023 View publication 



Egger, P.; Jones, C. "Co-Exportation of Products by Multi-Product Firms" Preprint 2023 View publication 



Jones, C.; Barzegar-Keshteli, M.; Gross, A.; Obozinski, G.; Rahi, S. J. "A Graph Matching Approach to Tracking Neurons in Freely-Moving C. elegans" Preprint 2023 View publication 



Jones, C.; Roulet, V.; Harchaoui, Z. "Discriminative Clustering with Representation Learning with any Ratio of Labeled to Unlabeled Data" Statistics and Computing 32 17 2022 View publication 



Roulet, V.; Jones, C.; Harchaoui, Z. "A Representation-Focused Training Algorithm for Deep Networks" IEEE Data Science and Learning Workshop (DSLW) 2022 View publication 



Jones, C.; Clayton, S.; Ribalet, F.; Armbrust, E. V.; Harchaoui, Z. "A kernel-based change detection method to map shifts in phytoplankton communities measured by flow cytometry" Methods in Ecology and Evolution 12 9 1687-1698 2021 View publication 

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