Academic: As Professor of Computer Science at BU (since 1999),
my academic research is
broadly centered on algorithmic and economic aspects of e-commerce, networking, and large-scale data
management, striking a balance between theoretical foundations and rigorous data-driven experimentation.
Entrepreneurial: As founding Chief Scientist at
Cogo Labs (since 2005), I help design
our proprietary technology platforms for online advertising, algorithmic marketing,
and data analytics to guide incubated portfolio
companies from inception to profitability and beyond.
- 5/12/14: NSF
for our XIA team
from CMU, BU, U Wisconsin and Duke to pursue the next phase of research on and deployment of the
XIA Future Internet architecture under the FIA-NP solicitation.
We are actively recruiting BU students to conduct research on core XIA technology, applications and deployments of XIA, and to
help build the XIA implementation for Linux.
- 3/3/14: Our IEEE
ICDE 2004 paper "Approximate aggregation techniques for sensor databases" won the
2014 ICDE Influential Paper Award.
Congrats especially to BU Ph.D. alumni Jef Considine and Feifei Li!
My main research interests are in designing algorithms, conducting measurements
and building systems in networking, electronic
commerce, and large-scale data management. I'm a member of the
Networks Research group
and I regularly collaborate with several members of the
Data Management Group @ BU, both of
which have hold open weekly meetings.
My academic research is currently supported in part by grants from
the National Science Foundation, the Hariri Institute at Boston University,
and by a Google Faculty Research Award.
At Cogo Labs, I've been working on a
fascinating problem domain since the company's founding in 2005: the
algorithmic, data management, and systems-building challenges that arise on the buy
side of pay-per-click advertising, a canonical Big Data optimization problem.