Additional Information
Ian recently interned at Microsoft as a data science intern and previously worked at Pacific Northwest National Laboratory, where he helped build a single-cell RNA sequencing pipeline and explored applications of machine learning in biology. Ian has also worked at J.P. Morgan Chase & Co. and Kiewit Corporation, applying data science and software engineering to develop time series forecasting models, automated data pipelines, and pattern recognition tools. With a strong foundation in applied mathematics—including analysis, algebra, probability, and partial differential equations—he is particularly interested in Physically Informed Neural Networks (PINNs). Outside of work, he mentors middle school students in competitive mathematics at Moore Middle School, emphasizing creative thinking and persistence. Ian is exploring career paths in applied machine learning, data science, software engineering, or quantitative finance.
