Salma

I work on reinforcement learning and large-scale optimization at Google DeepMind. I am building noether. Outside of core infra, I've started collaborating w/ Sara Seager's group at MIT on exoplanet habitability modeling.

Previously, I worked on multi-agent learning frameworks for incident triage at M365 (Microsoft Research). Before that, I worked on privacy and federated learning at OpenMined, a research collective advancing open-source infrastructure for PETs, and earlier, interned at Microsoft's Experiences + Devices org.

I like designing and reasoning about systems. Almost anything—software, biology, institutions—can be modeled as one.
The best way to get into my mind is to read this.

In my free time I read a lot, write poetry and listen to music (*almost all of my waking hours). I pick up new skills and hobbies compulsively. Over the years, I've learned how to play badminton and the keyboard, paint, sketch, origami, horseback riding, swim, speak 4 languages (Russian, German, Korean, Japanese), and more recently Muay Thai (amateur; picking it up!). It's surprising how fast you get better at something with sustained effort; and how much learning one thing compounds into another.