Summary
Nick Dexter is an assistant professor in Scientific Computing at Florida State University with 14 years of experience bridging computational science, deep learning, and the mathematics of data. He holds a PhD in Mathematics and has a track record of implementing high-performance numerical methods in Python, C/C++, and MATLAB for large-scale scientific computing environments. His research spans approximation theory, numerical analysis, compressed sensing, and practical machine learning, and he is fluent with TensorFlow, PyTorch, Keras, NumPy, eigen, and FEniCS. Prior roles include postdoctoral work at Simon Fraser and research fellowships at the University of Tennessee / Oak Ridge National Laboratory, where he developed production-ready numerical software. Colleagues know him for combining rigorous theory with hands-on scientific programming to move algorithms from proofs to parallelized implementations. Based in Tallahassee, he brings an uncommon blend of deep mathematical insight and practical HPC engineering.
15 years of coding experience
4 years of employment as a software developer
Bachelor of Science, Computational Mathematics, Bachelor of Science, Computational Mathematics at Rochester Institute of Technology
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Tennessee-Knoxville
Spanish, Japanese