About Me

I am passionate about interactive AI, robust ML, biomedical data analysis, and research software development. I’ve developed open-source software for analyzing bio-signal streams, prototyping microservices, and transitioning research workloads between local and HPC environments. I’ve proposed hypothesis-driven outlier detection methods for reliable use of deep neural networks.