Daniel Seita


(I normally check email after 5:00PM PST.)
Curriculum Vitae

I am a computer science PhD student at the University of California, Berkeley. My current research interests are an eclectic mix of robotics, deep learning, and machine teaching. I am particularly interested in developing robotic systems for deployment in complex, unstructured environments. For applications, I am interested in (and have experience with) surgical robotics and robot bed-making.

I am extremely fortunate to be advised by John Canny. I am also very privileged to be part of the AUTOLAB, led by Ken Goldberg. I am generously supported by a National Physical Science Consortium fellowship (from 2015 to 2021), funded through the National Security Agency.

I frequently blog about technical (and non-technical) topics, and publish source code and various notes on my GitHub account. I also edit and maintain the Berkeley Artificial Intelligence Research blog.

Quixotic though it may sound, I hope to use computer science and robotics to change the world for the better. If you have thoughts on how to do this, feel free to contact me.

News and Updates

Preprints and Publications

If a paper is on arXiv, that's where you can find the latest version. (Google Scholar)

Coursework and Teaching Assistantships

I've taken a number of graduate courses as part of the PhD program at UC Berkeley. I also write reviews, which might be helpful for those thinking about taking future iterations of these classes. I was also the GSI (i.e., Teaching Assistant) for the Deep Learning class in Fall 2016. At the time I took it, UC Berkeley had an oral preliminary exam requirement for PhD students. Here's the transcript of my prelims. Nowadays, it seems like there's a written exam that students take simultaneously, since the number of AI PhD students has skyrocketed.


© Daniel Seita. Last updated: March 13, 2019.