# David X. Wu

he/him/his

I’m broadly interested in machine learning theory and problems at the intersection of optimization, statistics, and theoretical computer science. I recently graduated from MIT with a double major in mathematics (Course 18) and computer science (Course 6-3). In the fall I’ll be starting my CS Ph.D. at UC Berkeley, where I’ll be supported by an NSF GRFP fellowship.

## news

May 28, 2022 | I graduated from MIT with a double major in 18 and 6-3. Thank you to all my friends, family, and mentors! |
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May 4, 2022 | Our paper on random dot product graph inference was accepted to SIOPT! |

Apr 15, 2022 | I will be heading to UC Berkeley for my CS Ph.D. in the fall, supported by a NSF GRFP fellowship! |

## selected publications

- Maximum A Posteriori Inference of Random Dot Product Graphs via Conic Programming
*arXiv preprint arXiv:2101.02180*2021