DSP group member Sina Alemohammad successfully defended his PhD thesis entitled "Generative AI in the Age of Synthetic Data: Challenges and Solutions" in May 2025.
A pioneer in the study of "MADness" and "model collapse" that occur when generative AI systems are trained using self-synthesized data, Sina has also been a leader in developing methods for safely self-improving genAI models. His work has been written up in the New York Times and a host of other media outlets.
Sina's next position is as a postdoc in Atlas Wang's group at UT-Austin.