About Me
I’m a graduate student at Stanford, working towards a Master’s in Statistics. My coursework is largely in prediction and machine learning, employing statistical models like regularized linear models and basis expansions as well as deep learning techniques. I have worked on projects in generative language modeling, recommendation systems, experimental design and implementation, tabular data augmentation, and document embeddings. Most recently, I worked at C3.ai for the summer using data science techniques to improve COVID-19 modeling and create publicly available data resources.
Before returning to school, I worked in New York at Hudson River Trading, a high-frequency algorithmic trading firm. There I served as a Python developer, automating clearing and settlement, conducting statistical analyses, and coordinating technical development for new initiatives. Prior to HRT, I spent some time in DC working for Berkeley Research Group constructing damages models on behalf of firms in litigation.
I’m a self-taught programmer and spend my free time working on personal projects and learning new frameworks. I’m a fan of economics blogs, Fed watching, and Russian lit.
Work
Summer 2020: C3.ai, enterprise AI software provider
2016-2019: Hudson River Trading, high-frequency algorithmic trading firm
2014-2016: Berkeley Research Group, expert-driven consulting firm.