CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- Github University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Efficient Large-scale Nonstationary Spatial Covariance function estimation using Convolutional Neural Networks
Nag, Pratik, Yiping Hong, Sameh Abdulah, Ghulam A. Qadir, Marc G. Genton, and Ying Sun. "Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks." Journal of Computational and Graphical Statistics just-accepted (2024): 1-22.
Spatio-temporal DeepKriging for interpolation and probabilistic forecasting, Spatial Statistics
Nag, Pratik, Ying Sun, and Brian J. Reich. "Spatio-temporal DeepKriging for interpolation and probabilistic forecasting." Spatial Statistics 57 (2023): 100773.
Talks
Deep Neural Networks for Large-scale Complex Spatial and Spatio-temporal Processes
PhD defence presentation at King Abdullah University of Science and Technology (KAUST), Saudi Arabia
Presentation on Spatio-temporal DeepKriging for interpolation and probabilistic forecasting
Conference Talk at JSM 2023, Toronto, Ontario. Canda
Efficient Large-scale Nonstationary Spatial Covariance function estimation using Convolutional Neural Networks
Conference talk at JSM 2022, Washington,DC. USA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams