Quantitative Research | AI | Full-Stack Engineering
Based in New York, NY | LinkedIn | Email
I am a graduate student at Columbia University with a passion for finding patterns in complex systems.
My journey started in Geospatial Data Science at UCL, where I learned to model non-stationary, correlated data in the physical world. I then moved to Barclays, where I engineered large-scale Data and GenAI systems for enterprise use.
Now, I am bridging these worlds. I use my engineering background to build better research tools, and my statistical background to model stochastic and high-dimensional systems. I am specifically interested in Quantitative Research, using modern Deep Learning to uncover signals in alternative and unstructured datasets.