My current research focuses on the search for strongly interacting dark sectors using jet substructure and the development of quality assurance software for the ATLAS HL-LHC Global Common Module.
I am proficient in Python with experience in C++, Julia, and Javascript. I have also developed expertise in hardware communications and testing. I work often with jet clustering algorithms and understanding detector effects on the jet’s substructure.
Designing interpretable machine learning models for physics analyses.
Developing skills in effective computing for large scale datasets and being able to provide production ready code.
Parallel computing and memory efficiency for gpus and cpus.