Welcome! I am a Professor in
the computer science department working on AI, machine learning and data mining algorithm
development. With domain expert collaborators I work on applications of my work to
areas with societal impacts such as neuroscience, intelligent tutoring systems and social network.
Read on below for more details but a common connection between my projects is novel problem settings,
rigorous formulations and practical applications. I typically work with other faculty/researchers to
apply my work so if you can see some potential application then please
let me email me.
Current projects include:
- Human in the loop learning in particular active and transfer learning where the domain expert is not an Oracle.
- Matrix factorization formulations for block modeling, network discovery and other applications.
- Constrained formulations of learning particularly spectral methods.
I have several research assistantship slots
available for students who are: i) self-starting, ii) understand quality research is a lot of work and iii) committed to publishing in the
highest quality venues.
My research is a mix of
rigorous algorithm design and application to
novel areas of social importance. Please read some of my work and
contact me if your genuinely interested. Do NOT send form letters.
Students and Collaborators
I am fortunate to have some excellent students to work with. Current and recent students are:
Xiang Wang (first at IBM Watson), Buyue Qian (now faculty
at Xi'an Jiaotong University), Tom Kuo (now at Google), Sean Gilpin (Now at Google), Aubrey Guess, Tom Kuo, Erin McGinnis, Zheng Fang, Hongjing Zhang
The best way to contact me is via email at davidson [at] cs [dot] ucdavis [dot] edu
My office is at Room 2083, Academic Surge. Please see this link