Aloha mai kāua! ʻO Ian koʻu inoa. No Columbus, Ohio mai au, akā noho au i Hawaiʻi nei ʻumikūmākolu makahiki.
Currently my work is heavily focused on the application of Deep Neural Networks to science goals and instrumentation.
- Simulation of distributed aperture telescopes for high-contrast imaging with DNN-based, focal-plane piston-tip-tilt correction
- Direct prediction of MHD properties from synthesized, DKIST analog spectropolarimetric data
Between undergrad at UH Hilo and before starting as a grad student at Mānoa, I worked at IfA – Maui doing helioseismology research, scientific programming, instrumentation, and working on technology commercialization efforts. I’ve been involved with (and co-founded) a handful of startups, and have always tried to keep a foot in industry, most recently as a Machine Learning Engineer.
- LSSTC (Vera C. Rubin Observatory) Data Science Fellow
- Akamai internship alumi (built KeOLA for Keck Observatory)
- ISEE PDP alumni (taught Akamai short course)
Here’s a cool video about some of my research! Cunnyngham, Emilio, Kuhn, Scholl, Bush. (2017) Poynting-Robertson-like Drag at the Sun’s Surface. Physical Review Letters, Volume 118, Issue 5, id.051102. doi: 10.1103/PhysRevLett.118.051102