Thea Sukianto

Thea Sukianto

Statistics PhD student

Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

Neural likelihood for irregular spatial data via graph neural networks (GNNs)

Directly estimating a statistical model’s likelihood function can be computationally intensive or even intractable for large spatial datasets such as those commonly found in the environmental sciences. As a part of my Ph.D thesis, I am applying graph neural networks (GNNs) to learn the likelihood for our locally stationary Gaussian process model for ocean heat content. Please see my recent poster for more details.
(Figure - Example likelihood surfaces for an isotropic Gaussian process. The GNN used to produce the neural surface was trained on actual Argo float sampling patterns.)

publications

Trends and variability in Earth’s energy imbalance and ocean heat uptake since 2005

Published in Surveys in Geophysics, 2024

Recommended citation: Hakuba, M. Z., S. Fourest, T. Boyer, B. Meyssignac, J. A. Carton, G. Forget, L. Cheng, D. Giglio, G. C. Johnson, S. Kato, R. E. Killick, N. Kolodziejczyk, M. Kuusela, F. Landerer, W. Llovel, R. Locarnini, N. Loeb, J. M. Lyman, A. Mishonov, P. Pilewskie, J. Reagan, A. Storto, T. Sukianto, and K. von Schuckmann, 2024: Trends and variability in Earth’s energy imbalance and ocean heat uptake since 2005. Surveys in Geophysics, 45, 1721–1756, https://doi.org/10.1007/s10712-024-09849-5

Global oceans

Published in Bulletin of the American Meteorological Society, 2024

Recommended citation: Johnson, G., R. Lumpkin, M. Alexander, D. Amaya, B. Beckley, T. Boyer, F. Bringas, B. Carter, I. Cetinic, D. Chambers, D. Chan, L. Cheng, S. Dong, S. Elipot, R. Feely, B. Franz, Y. Fu, M. Gao, J. Garg, D. Giglio, J. Gilson, M. Goes, G. Graham, B. Hamlington, W. Hobbs, Z. Hu, B. Huang, M. Ishii, M. Jacox, A. Jersild, S. Jevrejeva, W. Johns, R. Killick, M. Kuusela, P. Landschutzer, E. Leuliette, C. Liu, R. Locarnini, S. Lozier, J. Lyman, M. Merrifield, A. Mishonov, G. Mitchum, B. Moat, R. Nerem, M. Oe, R. Perez, I. Pita, S. Purkey, J. Reagan, K. Sato, C. Schmid, D. Smeed, R. Smith, P. Stackhouse, T. Sukianto, W. Sweet, P. Thompson, J. Trinanes, D. Volkov, R. Wanninkhof, R. Weller, T. Westberry, M. Widlansky, J. Willis, X. Yin, L. Yu, and H. Zhang, 2024: Global Oceans. Bulletin of the American Meteorological Society, 105, S156–S213, https://doi.org/10.1175/BAMS-D-24-0100.1

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.