Hi There 👋, About Me!

I'm a physicist by training, a statistician by graduate study, and an engineer by practice currently working as a Chief Engineer at Turkish Aerospace Industries (TUSAŞ), where I lead a team building autonomous decision systems for safety-critical aerospace programs. My MSc thesis at Hacettepe University produced StatD2GAN, a generative model for multivariate time series synthesis formulated as a Stackelberg hierarchical game between specialized multidiscriminators sitting at the intersection of statistical theory, game theory, and deep learning, with a manuscript currently in preparation.

Mustafa Ozaytac

I'm a physicist by training, a statistician by graduate study, and an engineer by practice currently working as a Chief Engineer at Turkish Aerospace Industries (TUSAŞ), where I lead a team building autonomous decision systems for safety-critical aerospace programs. My MSc thesis at Hacettepe University produced StatD2GAN, a generative model for multivariate time series synthesis formulated as a Stackelberg hierarchical game between specialized multidiscriminators sitting at the intersection of statistical theory, game theory, and deep learning, with a manuscript currently in preparation.

What I Actually Work On

  • Autonomous decision architectures for real-time, safety-critical aerospace systems
  • Generative modeling and synthetic data: GANs, diffusion models, copula theory
  • Statistical modeling of complex multivariate processes
  • Simulation environments and model validation pipelines
  • Bridging physics-based constraints with learned representations
About

Technical Stack

  • Deep learning: PyTorch, transformers, GANs, time series architectures
  • Statistical modeling: multivariate methods, copulas, hypothesis testing
  • Simulation: modeling and validation for aerospace-grade systems
  • Languages: Python, and whatever else the problem demands

Academic Background

  • MSc Statistics
  • BSc Physics

Philosophy

I believe the most interesting problems live at disciplinary boundaries where statistical rigor meets physical intuition, and where theoretical frameworks have to survive contact with real engineering constraints. My enthusiasm for discussing science, philosophy, ethics, and mathematics isn't separate from my technical work; it's the same instinct applied at different scales.

I'm pursuing a PhD, aiming to push further into the foundations of generative models and autonomous systems particularly the formal bridges between statistical learning, game-theoretic formulations, and physical reasoning. I'm most drawn to problems where the math is hard and the stakes are real.

Or you can just write me an email.