I study astrophysical transients by leveraging machine learning for inference and mentor students (K-12 to graduate). I love collaborating, so please reach out!
Repositories
markoris/neurodiffeq
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
markoris/nubhlight
General Relativistic Neutrino Radiation Magnetohydrodynamics for Neutron Star Merger Disks
markoris/surrogate_kne
Surrogate model data release for https://ui.adsabs.harvard.edu/abs/2022PhRvR...4a3046R/abstract and https://ui.adsabs.harvard.edu/abs/2022arXiv221104363K/abstract.
markoris/rf_spec_intp
Spectral interpolation for kilonovae using neural networks
markoris/GWEM_data_repo
markoris/kne-archival-pe
markoris/intro_astro_course
introductory astrophysics material for observational/theoretical/instrumentation basics
markoris/Kasen_Kilonova_Models_2017
Theoretical models of kilonova presented in Kasen et al, Nature, 2017
markoris/metzger_surrogates
markoris/ASTP720
ASTP 720 Computational/Statistical Methods in Astrophysics
markoris/bayesianprimer
Short ASCSN primer on Bayesian statistics
markoris/nmma
A pythonic library for probing nuclear physics and cosmology with multimessenger analysis