I am a Postdoctoral Research Fellow in the Department of Physics (and the W. W. Hansen Experimental Physics Laboratory) at Stanford University, and a Mentor at the NASA Frontier Development Lab. My research interests are in the application of machine learning in heliophysics.
Prior to coming to Stanford, I completed my PhD at the University of Glasgow under the supervision of Dr Iain G. Hannah. My PhD research concentrated on one of the unsolved problems in Heliophysics—the coronal heating problem. During my PhD I gained expertise in numerous time-series analysis techniques and methods for recovering the differential emission measure (an ill-posed inverse problem) from a wide range of spectroscopic and narrowband data. I am a member of the NuSTAR heliophysics working group and I led the analysis of the first solar flare observed by the NuSTAR hard X-ray astrophysics imaging spectrometer. I have also developed a stellar flare detection algorithm based on the observations obtained by the Kepler space telescope to determine the superflare rate of the Sun.
Complete list of publications on NASA ADS.
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses
Anna Jungbluth†, Xavier Gitiaux†, Shane Maloney†, Carl Shneider†, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atılım Güneş Baydin, Yarin Gal, Andrés Muñoz-Jaramillo
In Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019), Vancouver, Canada
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties
Xavier Gitiaux†, Shane Maloney†, Anna Jungbluth†, Carl Shneider†, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atılım Güneş Baydin, Yarin Gal, Andrés Muñoz-Jaramillo
In Fourth Workshop on Bayesian Deep Learning (NeurIPS 2019), Vancouver, Canada
† Researchers at NASA Frontier Development Lab (FDL) 2019 (Mentored/Advised)
A Deep Learning Virtual Instrument for Monitoring Extreme UV Solar Spectral Irradiance
Alexandre Szenicer‡, David F. Fouhey, Andrés Muñoz-Jaramillo, Paul J. Wright‡, Rajat Thomas‡, Richard Galvez‡, Meng Jin, Mark C. M. Cheung
Science Advances, 2019
Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission
Richard Galvez‡, David F. Fouhey, Meng Jin, Alexandre Szenicer‡, Andrés Muñoz-Jaramillo, Mark C. M. Cheung, Paul J. Wright‡, Monica G. Bobra, Yang Liu, James Mason, Rajat Thomas‡
Astrophysical Journal Supplement Series, 2019
DeepEM: A Deep Learning Approach for DEM Inversion
Paul J. Wright‡, Mark C. M. Cheung, Rajat Thomas‡, Richard Galvez‡, Alexandre Szenicer‡, Meng Jin, Andrés Muñoz-Jaramillo, David Fouhey
Helio-ML eBook, 2018
‡ Researchers at NASA Frontier Development Lab (FDL) 2018
First NuSTAR Limits on Quiet Sun Hard X-Ray Transient Events
Andrew J. Marsh, David M. Smith, Lindsay Glesener, Iain G. Hannah, Brian W. Grefenstette, Amir Caspi, Säm Krucker, Hugh S. Hudson, Kristin K. Madsen, Stephen M. White, Matej Kuhar, Paul J. Wright, Steven E. Boggs, Finn E. Christensen, William W. Craig, Charles J. Hailey, Fiona A. Harrison, Daniel Stern, William W. Zhang
Astrophysical Journal, 2017
Observations of Reconnection Flows in a Flare on the Solar Disk
Juntao Wang, Paulo J. A. Simões, Natasha L. S. Jeffrey, Lyndsay Fletcher, Paul J. Wright, Iain G. Hannah
The Astrophysical Journal Letters, 2017
Microflare Heating of a Solar Active Region Observed with NuSTAR, Hinode/XRT, and SDO/AIA
Paul J. Wright, Iain G. Hannah, Brian W. Grefenstette, Lindsay Glesener, Säm Krucker, Hugh S. Hudson, David M. Smith, Andrew J. Marsh, Stephen M. White, Matej Kuhar
The Astrophysical Journal, 2017
Evidence of Significant Energy Input in the Late Phase of a Solar Flare from NuSTAR X-Ray Observations
Matej Kuhar, Säm Krucker, Iain G. Hannah, Lindsay Glesener, Pascal Saint-Hilaire, Brian W. Grefenstette, Hugh S. Hudson, Stephen M. White, David M. Smith, Andrew J. Marsh, Paul J. Wright, Steven E. Boggs, Finn E. Christensen, William W. Craig, Charles J. Hailey, Fiona A. Harrison, Daniel Stern, William W. Zhang
The Astrophysical Journal, 2017
1 page CV is available here.