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Seminar tutorial on my research for my Master’s thesis at ESPCI Paris. The focus was on developping methods to a-posteriori backpropagate through the latent spaces of linear and nonlinear variants of the Kalman Filter in order to estimate model parameters.
CS107/AC207 Systems Development for Computational Science, Harvard, John A. Paulson School of Engineering and Applied Sciences, 2022
CS107/AC207 is an applications course highlighting the use of software engineering and computer science in solving scientific problems. Students learn the fundamentals of developing scientific software systems including abstract thinking, the handling of data, and assessment of computational approaches: all in the context of good software engineering practices.