My research focus is deep learning for obfuscated binary code analysis. This work improves analysis for binary programs that are integral to software supply chains, and makes it easier to detect malware or stolen intellectual property.
I've worked at IU as an electronics technician for the Physics department, for Psychological and Brain Sciences as an electronics engineer, and as a systems engineer for Intelligent Systems Engineering (ISE).
Currently I build and maintains high performance FPGA clusters in the IU Data Center and have taught several courses with Intelligent Systems Engineering (Engineering Computing Architecture (ENGR-E 110), Python for Engineers (ENGR-E 399/599) and Engineering Ethics (ENGR-E 299)).
I enjoy cycling in Bloomington, hiking just about anywhere, analog musical electronics, code golf, hand-tool woodworking and metal (the musical genre).