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SEA OtTeRS · Internship Student

Gunmethus Cherdchoochavalit, MSc

Research Assistant · MSc student

Gunmethus Cherdchoochavalit
Curriculum vitae (PDF) ↗gunmethus.cherdchoochavalit@gmail.com
Affiliation
Chiang Mai University
Role in team
Research assistant · machine learning for high-redshift galaxies (ML-HRO)
Since
2024

Gunmethus (Ig-Q) Cherdchoochavalit researches high-redshift galaxies, especially from JWST observations, using random-forest regressors and convolutional neural networks to determine key physical properties and to distinguish object types and redshift classes.

High-redshift galaxy propertiesObservational JWST astronomyMachine learning on photometric data to predict spectroscopic propertiesCNN-based object type and redshift classification from imaging

Projects

Random-forest star-formation rates recovered from photometry versus the SED-fitted values
ML-HRO

Machine-learning parameter extraction for high-redshift galaxies

Machine-learning inference of physical properties and redshift classes of JWST-era high-redshift galaxies from photometry and imaging.

Research projectActive
Matter-density contrast maps of the JADES GOODS-N and GOODS-S fields with protocluster cores marked
JWST-SF

Bursty star formation at z > 6 in the JWST era

How large-scale structure formation enhances or quenches star formation on the main sequence at z > 6, toward the epoch of first assembly and reionization.

Research projectActive