- Scalable, Parallel Natural Language Processing (NLP)
- Public and Private Cloud Computing
- Query-driven, In-database Machine Learning (ML)
Bayes Informatics provides unique scalable in-database NLP technology and related consulting services for projects involving large scale NLP and machine learning.
Milenko received a Ph.D. in Data Management Middleware Systems from University of Toronto and has previously worked at IBM Silicon Valley Lab developing an in-database XML engine for IBMs flagship relational database product DB2.
Daisy Zhe Wang
Daisy is a Ph.D. Candidate in Database Group at UC Berkeley and presently serves as a technical adviser to Bayes Informatics. Daisy's previous experience includes Intel, IBM, Yahoo! and Google.
Zachary is a Ph.D. student at UC Berkeley working on Computational Physics.
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