Home
/
Team
/
Corinne Jones
Corinne Jones

Corinne Jones

Sr. Data Scientist
Academia
(Alumni)

Corinne joined the SDSC 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

In Progress
Real-time cleansing of snow and weather data for operational avalanche forecasting
Energy, Climate & Environment

4D-Brains

Completed
Extracting Activity from Large 4D Whole-Brain Image Datasets
Biomedical Data Science

EconMultiplex

Completed
Multiplex Networks in International Trade
Digital Administration

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 v1.0.0)" Preprint 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
Egger, P.; Jones, C. "Co-Exportation of Products by Multi-Product Firms" Royal Economic Society Annual Conference 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.; Barzegar-Keshteli, M.; Gross, A.; Obozinski, G.; Rahi, S. J. "A Graph Matching Approach to Tracking Neurons in Freely-Moving C. elegans" SDSC-AI4Science seminar 2023 View publication
Egger, P.; Jones, C. "Co-Exportation of Products by Multi-Product Firms" Workshop on International Trade and Multilateralism 2023 View publication
Park, C. F.; Barzegar-Keshteli, M.; Korchagina, K.; Delrocq, A.; Susoy, V.; Jones, C.; Samuel, A. D. T.; Rahi, S. J. "Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation" Nature Methods 2023 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 4.0 1237-1247 2023 View publication
Egger, P.; Jones, C. "Co-Exportation of Products by Multi-Product Firms" European Trade Study Group Conference 2022 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 17.0 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 9.0 1687-1698 2021 View publication

Mentioned in

Case Studies

Contact us

Let’s talk Data Science

Do you need our services or expertise?
Contact us for your next Data Science project!