Utku joined the Google AI Residency Program in the summer of 2018 after completing his M.Sc. degree in Computer Science at NYU Courant with the Fulbright Scholarship. During his time at NYU, he worked with Levent Sagun on understanding the energy landscape of neural networks. Following his interest in network pruning, Utku wrote his M.Sc. thesis on detecting dead units in neural networks (advised by Prof. Leon Bottou). Prior the M.Sc. degree, Utku completed his undergrad degree in Koc University, Istanbul double majoring in Electrical Engineering and Computer Engineering. His prior research experience includes two summer internships at EPFL(2015), Switzerland and University of Amsterdam(2016), Netherlands. Utku is very excited about the Residency program. He sees the residency program as a perfect opportunity to learn from senior researchers while improving his understanding of deep learning. He is excited to leverage Google's computational resources to conduct research on a large scale. He believes neural network training is far from optimal in terms of speed and resources used. He is excited to work on making them faster, smaller, and more agile on learning various tasks. His off-research interests include running, climbing and some maker projects. His personal page and blog posts related to ML and engineering can be found here.