# Raghu Meka | [HOME](http://www.raghumeka.org) | [RESEARCH](https://raghumeka.github.io/research.html) | [TEACHING](https://raghumeka.github.io/courses.html) | | -------- | -------- | -------- | --- | I am a Professor in the CS department at UCLA, currently on leave at Google Deepmind. I am broadly interested in complexity theory, learning and probability theory. See my publications and talks for more details. I am part of UCLA's [theory group](http://web.cs.ucla.edu/~theory). I am pleased to have received IEEE's [W. Wallace McDowell](https://en.m.wikipedia.org/wiki/W._Wallace_McDowell_Award) Award for 2025. You can find a description of some of my research work in this [**Quanta article**](https://www.quantamagazine.org/surprise-computer-science-proof-stuns-mathematicians-20230321/), [**Science News**](https://www.sciencenews.org/article/arithmetic-progressions-math-order-combinatorics), this [**video highlight**](https://www.youtube.com/watch?v=4HHUGnHcDQw), [IEEE short](https://www.youtube.com/watch?v=FBMAL6thwsk), and [interview](https://www.computer.org/publications/tech-news/insider-membership-news/complexity-learning-computer-science-raghu-meka). | | | -------- | -------- | :::spoiler Contact raghum@cs.ucla.***, Engineering VI 463. ::: :::spoiler Short bio I got my PhD at UT Austin under the (wise) guidance of David Zuckerman in 2011. After that I spent two wonderful years in Princeton as a postdoctoral fellow at the Institute for Advanced Study with Avi Wigderson and at DIMACS, Rutgers. After that I spent a year as a researcher at Microsoft Research, Silicon Valley Lab. I was on sabbatical visiting the MIT math department from 2018-2020, and a visiting researcher at Google Research from 2021-2022. ::: :::spoiler [CV](https://ucla.box.com/s/kt5v8k4jqpueeeossc3s5ojodicvbfje) ::: :::spoiler Students I am fortunate to be working with my current students [Ashutosh Kumar](https://www.ashutoshk.com/), [Hadley Black](https://hablack.github.io/), [Yiwen Kou](https://evankou.github.io/), and Yimeng Wang. :::