Cem Gultekin

New applied mathematics phd graduate on the job market with experience in deep learning and engineering

I have spent 6+ years working with deep learning algorithms ad numerical methods in academic settings. I have a keen sense of exploring trade-offs between accuracy, time complexity, and interpretability. I have worked on a wide range of tasks, from pen-and-paper analysis to prove algorithm accuracy to engineering large-scale numerical solvers and optimizing deep learning training procedures for maximum performance. I enjoy covering as many areas of machine learning as possible to maintain a fresh perspective and find holistic solutions, especially when tackling engineering tasks.

I've got my PhD on applied mathematics from Courant Institute.