Melih Barsbey is a Postdoctoral Researcher. Melih’s research focuses on examining the synergy and trade-offs between compressibility and robustness in machine learning models, and training decisions which allow these to be obtained simultaneously. His past research also includes publications on human-AI complementarity, graphical latent variable models, and tensor factorization methods. Melih holds a PhD in Computer Engineering, BA and MA in Psychology from Boğaziçi University, Istanbul.