Jeremiah Rounds
Data Scientist
Jeremiah Rounds
Data Scientist
Biography
Jeremiah Rounds has been a data scientist with Pacific Northwest National Laboratory (PNNL) since 2015. He is sought after for his expertise and leadership in applied machine learning, deep learning, and Python software development. He has publications in gene expression analysis, time-series analysis, climate studies, natural language processing for disease surveillance, and adversarial techniques for deep learning models. Recently, his research has focused on applied deep learning and deployable software systems for scalable learning with applications to state-of-the-art RF sensing and monitoring systems.
Research Interest
- Exploratory data analysis
- Machine learning
- Deep learning
- Self-supervised deep learning at scale
- Python
- Software development
- Real-time analytics
Education
- PhD in statistics, Purdue University
- MS in mathematical statistics, Utah State University
- BS in mathematics, University of Arizona
Awards and Recognitions
- National Security Directorate Outstanding Performance Award, PNNL, November 2023
- National Security Directorate Outstanding Performance Award, PNNL, May 2018
Publications
2022
- Setzler, Matthew, Elizabeth Coda, Jeremiah Rounds, Michael Vann, and Michael Girard. "Deep Learning for Spectral Filling in Radio Frequency Applications." In 2022 Sensor Signal Processing for Defence Conference (SSPD), pp. 1-5. IEEE, 2022.
2020
- Rounds, Jeremiah, Addie Kingsland, Michael J. Henry, and Kayla R. Duskin. "Probing for Artifacts: Detecting Imagenet Model Evasions." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 790-791. 2020.
2018
- Charles, Lauren E., William Smith, Jeremiah Rounds, and Joshua Mendoza. " Text-Based Analytics for Biosurveillance." Advanced Data Analytics in Health (2018): 117-131.
2017
- Bramer, Lisa M., J. Rounds, C. D. Burleyson, D. Fortin, J. Hathaway, J. Rice, and I. Kraucunas. " Evaluating Penalized Logistic Regression Models to Predict Heat-Related Electric Grid Stress Days." Applied Energy 205 (2017): 1408-1418.
- Hall, Hana, Patrick Medina, Daphne A. Cooper, Spencer E. Escobedo, Jeremiah Rounds, Kaelan J. Brennan, Christopher Vincent, Pedro Miura, Rebecca Doerge, and Vikki M. Weake. " Transcriptome Profiling of Aging Drosophila Photoreceptors Reveals Gene Expression Trends That Correlate with Visual Senescence." BMC genomics 18, no. 1 (2017): 1-18.
2015
- Vlachopoulou, Maria, Luke Gosink, Trenton Pulsipher, Ryan Hafen, Jeremiah Rounds, Ning Zhou, and Jianzhong Tong. " Net Interchange Schedule Forecasting Using Bayesian Model Averaging." In 2015 IEEE Power & Energy Society General Meeting, pp. 1-5. IEEE, 2015.
2012
- Guha, Saptarshi, Ryan Hafen, Jeremiah Rounds, Jin Xia, Jianfu Li, Bowei Xi, and William S. Cleveland. " Large Complex Data: Divide and Recombine (D&R) with RHIPE." Stat 1, no. 1 (2012): 53-67.