I am a scientist at Meta AI in NYC and study machine learning and optimization, recently involving reinforcement learning, control, optimal transport, and geometry. On social media, I enjoy finding and boosting interesting content from the original authors on these topics
I made this small animation with my recent project on optimal transport that connects continuous structures in the world. The source code to reproduce this and other examples is online at https://github.com/facebookresearch/w2ot
@bamos I also do Geometry/RL, thought I was alone! 
What kind of Geometry? :)
I mostly did discrete, 2-D geometry, usually around the Delaunay triangulation
@michael_dennis I've mostly looked at modeling distributions on manifolds, but I've been wanting to branch out into other topics in geometry as it's relatively new to me. Also the geometry/RL intersection seems quite nice and not something I have done much of :)
@bamos low dimensional or high dimensional manifolds? There is a lot of computational geometry stuff I used to think about on manifolds, but all of it that I know of is exponential in the dimension and so stops working after 3 or 4.
Unfortunately haven’t been combining the two much yet! Just a Geometry -> RL convert. I think there are a good number of intuitions that transfer, or at least provide nice visualizations, but still looking for the “killer app” 
@michael_dennis @bamos hahahabim so happy to see you two meet
@natolambert @bamos the elephant app brining people together 
@michael_dennis Mostly 2/3-dimensional settings which still nicely captures surfaces in the world, although we've gone slightly beyond to a few tens of dimensions in some settings:
https://arxiv.org/abs/2106.10272
https://arxiv.org/abs/2207.04711
@bamos glad to see you here, hope we can discuss together some artificial brain models!