SIAM Mathematics of Data Science 24

Caroline and I co-organized the mini-symposium “Manifold learning, trajectory inference, and applications in biology”. Caroline’s talk “Trajectory inference in Wasserstein space” was featured in SIAM news. We had a great time at this conference (check out some pictures here).

I also gave a presentation in the mini-symposium “Incorporating Optimal Transport in Machine Learning: Theory and Applications” and presented a poster in the mini-symposium “Computational Methods for Measure Transport and Generative Modeling”.