Bryan's research at Stony Brook focused on applying representation learning (or deep
learning) to applications in social network analysis (including link prediction, user-profiling,
etc.) and natural language processing.
Bryan won an IACS Junior Researcher Award for 2 years, was the recipient of the Catacosinos
Fellowship for Excellence in Computer Science, and received the Best Paper (runner-up)
award at the SIAM Conference on Data Mining in 2016 for his work on anomaly detection
in graphs. He was advised by Professor Steven Skiena.
Bryan is a Research Scientist on the Graph Mining team at Google. For more information
about research at Google, see "
Google's Hybrid Approach to Research
Structure of a typical day
It's similar to graduate school. I catch up on email in the morning and get some programming
done before lunch. (Ok,
is a little better than graduate school.) Then I usually have a few meetings and suddenly
the end of the day is approaching. I make some progress on my research and then head
How did you find the job
I got started through the internship program (which I highly recommend). It's a great
way to get to know the company and have some fun while doing it.
Advice to other students
I think there are a couple general rules for success in your studies:
- Work on problems you think are interesting. Enthusiasm is contagious; if you don't
believe in it, it'll be hard to convince others to care.
- Treat your research like a full-time job.
- Don't forget to have fun. (Jobs have vacations -- take a day off after each paper