I am currently a graduate research assistant at Purdue University, studying under Professor Tiark Rompf. I am broadly interested in programming languages and compilers, with a specific interest in how programmers learn and use these languages.
My research is devoted to maximizing programmer efficiency through the use of multi-stage programming: providing low-level specialization benefits without needing to give up high-level expressive power. "Abstraction without regret!"
Currently, I am focusing on providing these benefits in the scope of machine learning applications and frameworks: see my recent publications for more info!
I'm also super excited to be joining the AutoGraph team as an intern starting January, 2019!
2018 (Under Submission)
James M. Decker, Dan Moldovan, Guannan Wei, Vritant Bhardwaj, Gregory Essertel, Fei Wang, Alexander B. Wiltschko, Tiark Rompf