The Era of Biognostic Machinery

Contemporary biotechnology is creating instrumentation that generates
data about people and other living things, in molecular detail and
with genomic breadth. Managing, analyzing and interpreting this
enormous flow of complex data presents significant challenges to
computer science. In this talk, I will introduce some of the more
significant data types, describe some of the challenges in analyzing
this data and interpreting the results, and outline some of our
approaches to those challenges, using techniques from statistical
learning theory, semantic database integration and natural language
processing.