Andreas P. Mentzelopoulos

I just defended my PhD at MIT in Mechanical Engineering and Computational Science & Engineering, with a minor in Finance. My research focuses on deep learning, particularly generative modeling and time-series forecasting, applied to engineering and finance.

I am the 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.

During my PhD, I developed the Firstling Digital Twin, pioneering the use of transformers (VIVformer) and diffusion models (Virtual Towing Tank, publication forthcoming) to forecast and simulate vortex-induced vibrations of flexible structures. Beyond engineering, I have designed and implemented deep learning–based statistical arbitrage strategies for public equities, back-tested in Southeast Asian markets during my internship with CITIC Securities, CLSA.

Originally from Athens, Greece, I studied at the University of Michigan before joining MIT. Outside of research, I am a violinist (past 5 years with the MIT Symphony Orchestra) and enjoy concerts, musical theater, and time with friends and family.