Machine Learning Scientist
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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.
