Stathis Megas

I am a research scientist at the University of Cambridge, working in Causal Generative AI for cell and tissue engineering. I did my PhD in string theory at the University of California, Los Angeles under Per Kraus.

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Peter W. Higgs was a physical mathematician famous for using mathematical theories to predict the existence of a hitherto unknown particle called the Higgs particle, and popularly referred to as the god particle.
The motivating question in my research career has been:

“Can we cure disease and reverse-engineer cell and tissue perturbations using mathematically designed AI, just like Higgs used math to predict new particles?”

I am interested in causal inference, generative AI, disentangled representation learning, and applications of machine learning in biomedicine. Previously I studied string theory, quantum gravity and experimental supersymmetry. (Pure math papers use alphabetical author ordering.)

For an overview of my research trajectory you can check my talk at Yale Univesity, Inference of Nature across disciplines.

I am passionate about giving talks about my work and making scientific knowledge broadly accessbile.

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