Andreas P. Mentzelopoulos

I am a quantitative researcher working on equity statistical arbitrage trading and research at Cubist Systematic Strategies (Point72).

Before Wall Street, I worked at Wayfair on the Measurement & Attribution team, where I developed multi-touch attribution models via explainable deep learning to quantify the impact of marketing spend. My work supported data-driven allocation of over $1B in annual marketing spend.

I am the co-founder and lead researcher of LOBSTgER, a project that develops latent diffusion models to generate and enhance high-resolution underwater imagery. In collaboration with photographer Keith Ellenbogen, LOBSTgER combines AI and ocean photography to raise awareness of marine environments while advancing generative modeling research.

I hold a PhD from MIT, where my research focused on applied deep learning. I developed the Firstling Digital Twin, pioneering the use of transformers (VIVformer) and diffusion models (Virtual Towing Tank, publication under development) to forecast and simulate vortex-induced vibrations of flexible structures.

Outside of work, I’m a violinist and spent several years performing with the MIT Symphony Orchestra. I also enjoy hiking, scuba diving, cooking, and Broadway theatre.