I am a Quantitative Research at Optiver Chicago, a high frequency trading firm. Prior to working at Optiver I completed a PhD in computer science in 2023 from the University of California, Santa Barbara advised by Daniel Lokshtanov.
At Optiver my work focuses on data and machine learning driven algorithmic trading. Outside of trading I enjoy working on problems related to my PhD thesis: algorithmic and structural graph theory, along with quantum computing and quantum algorithms. I also enjoy more traditional areas of investing, financial markets, and economics. A copy of my thesis can be found below.
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