Who am I?

I’m a multi-disciplinary data and computational scientist with over 3 years of research and internship experience looking to expand my practical expertise in data science and applied machine learning (ML) after working on data-driven algorithms over the past few years. I’m stoked to learn, contribute, and innovate how treasure troves of data are utilized at the state-of-the-art level. My research interests are expanding as I explore new problems in my PhD program, but I’m particularly interested in the following areas: data-driven modelling, machine learning, multi-fidelity methods, and uncertainty quantification.