Kyra Kadhim

Kyra Kadhim is a PhD student in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen and an IMPRS-IS scholar. In the past, she has studied pulse-coupled oscillator network dynamics and mechanistic models of the cortex. Her current work focuses on understanding how the brain processes visual information from the very first synapses in the retina to build a strong foundation for our understanding of higher cortical functions. She is also interested in how the neural implementation of visual information processing can inform artificial neural network architecture and how machine learning techniques for parameter optimization and model discovery can be leveraged to build useful mechanistic models.