PhD Students
Sirapat Watakajaturaphon
Ph.D. student in Statistics at University of California, Davis
​
​
​
​​
​
​
​
​
​
​
​
Short Bio:
Education:
- M.S. in Statistics, UC Davis (Graduate in June 2023)
- B.S. in Mathematics, Chiang Mai University, Thailand (2016-2020)
​​​
Research interests:
- Bayesian methods
​​​
Contact
Email: swata@ucdavis.edu
Scholarship (2020-Present):
Sponsor: the Development and Promotion of Science and Technology Talents Project (DPST), Royal Thai Government, Thailand
Publication:
​
Watakajaturaphon, S., & Phetpradap, P. (2020). PM 2.5 Problem in Chiang Mai, Thailand: The Application of Maximizing Expected Utility with Imbalanced Loss Functions. IUKM 2020. https:// doi.org/10.1007/978-3-030-62509-2_7
​
​​​​​
- Bernabe Cano
Ph.D. student in Statistics at University of California, Davis
​
​​
​
​
​​​​
​​
​​
​
​
​
​
​
​
​
​
​​​​​​​​​​
Short Bio:​​
​​​​
Education:
​
-
B.S. in Statistics, Chapingo Autonomous University (2016-2020).
-
B.S. in Mathematics, National Autonomous University of Mexico (2019-2023).
​
Research interests:
- Bayesian methods
​
Publications:
-
Kismiantini; Montesinos-López, A.; Cano-Páez, B.; Montesinos-López, J.C.; Chavira-Flores, M.; Montesinos-López, O.A.; Crossa, J. A Multi-Trait Gaussian Kernel Genomic Prediction Model under Three Tunning Strategies. Genes 2022, 13, 2279. https://doi.org/10.3390/genes13122279
-
Montesinos-López, O.A.; Carter, A.H.; Bernal-Sandoval, D.A.; Cano-Paez, B.; Montesinos-López, A.; Crossa, J. A Comparison between Three Tuning Strategies for Gaussian Kernels in the Context of Univariate Genomic Prediction. Genes 2022, 13, 2282. https://doi.org/10.3390/genes13122282
​
-
Montesinos-López, O.A.; Montesinos-López, A.; Cano-Paez, B.; Hernández-Suárez, C.M.; Santana-Mancilla, P.C.; Crossa, J. A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the Sparse Kernels Method (SKM) Library. Genes 2022, 13, 1494. https://doi.org/10.3390/genes13081494
​
​
-
Montesinos-López, O.A.; Crespo-Herrera, L.; Pierre, C.S.; Cano-Paez, B.; Huerta-Prado, G.I.; Mosqueda-González, B.A.; Ramos-Pulido, S.; Gerard, G.; Alnowibet, K.; Fritsche-Neto, R.; Montesinos-López, A.; Crossa J. (2024), Feature engineering of environmental covariates improves plant genomic-enabled prediction. Front. Plant Sci. 15:1349569. https://doi.org/10.3389/fpls.2024.1349569
​
Scholarships (2024-present):
​
-
Fulbright-García Robles: sponsored by the U.S. – Mexico Commission for Educational and Cultural Exchange (COMEXUS).
-
CONAHCyT: National Council of Humanities, Science and Technology of Mexico.
​
