Academic: As Professor of Computer Science at BU, my academic
research centers on data-analytic and algorithmic challenges in two disciplines:
the empirical study of Internet platforms (such as Airbnb, Groupon, Uber and Yelp),
and the science of computer networking (e.g., transport protocols, network architecture).
Entrepreneurial: As founding Chief Scientist at the
Cogo Labs technology incubator (founded in 2005),
I help research and design our own technology platform: we provide proprietary
methods for online advertising, algorithmic marketing, and data science analytics
that help power our incubated portfolio companies from inception to profitability and beyond.
- 6/28/18: The
team rang the bell at
the Nasdaq this morning (ticker:
EVER) after pricing their IPO at $18/share.
EverQuote, a company we
incubated at Cogo Labs starting in 2011,
publicly filed their S-1 with the SEC, in preparation for their IPO.
- 5/7/18: Presented a technical overview talk,
Online Advertising: A View from the Inside", at the BU Law School as part of the Cyber Alliance talk series.
Please email Tyler Gabrielski (firstname.lastname@example.org) for a link to the video recording.
- 4/23/18: We have six new students joining us to work this summer on our open-source
Linux XIA project,
all funded by Google Summer of Code.
Welcome Ka Ming Hui, Pranjan Sana, Vibhav Pant, Daivik Dave, Hrishav Mukherjee, and Prashant Kumar Prajapati!
This marks the fourth consecutive summer we've participated in GSoC.
- 4/17/18: It's Innovation Week at BU!
Photo of me presenting my recent research on unicorns
(the startup kind) at the Global Disruptors kickoff event.
- 3/21/18: Our EdX course, Business
Analytics for Data-Driven Decision Making (QD602x, part of BU Questrom's MicroMasters in Digital Innovation),
See also: QD602x featured in a BU Daily Free Press article last year.
- 3/10/18: Looking forward to serving again on the
ACM Internet Measurement Conference program committee in 2018.
IMC is returning to Boston this fall!
- 2/20/18: Our WSDM 2018
paper was reviewed as *the morning paper* on
Adrian Colyer's blog of the same name.
Long story short: we devise methods for Uber and Lyft drivers to construct real-time contingency
plans to maximize their earnings during their work week.
The key is to effectively leverage
historical ridership data (which has significant spatiotemporal variation in our NYC-based study) to get a big earnings boost.
- 2/16/18: Harshal presented our work on "app of the day" Appstore promotions at the
Workshop on Two-Sided Marketplace Optimization,
colocated with WSDM 2018 in LA.
- 2/15/18: Harshal presented our paper
"Putting Data in the Driver's Seat: Optimizing
Earnings for On-Demand Ride-Hailing"
as a Long presentation at WSDM 2018 in LA.
- 12/5/17: I was elected by the BU Faculty Council to serve on the Questrom (business school) Dean Search Advisory Committee.
11/29/17: Today marks the official launch of Innovate @ BU! See also: article in
- 10/17: Our
Airbnb impacts paper
appeared in this month's AMA Journal of Marketing Research (JMR).
- 7/13/17: Excited to be a member of the inaugural class of Boston University
Science Fellows. See this Q&A on my perspective.
I'm a Computer Science Professor and a Data Science Fellow at BU.
I'm a member of the Networks Research group
and the DBLab at BU, both of which hold open weekly talk series. Please join us!
I also hold appointments as Fellow at
the Hariri Institute and a courtesy appointment in
the Department of Marketing in BU Questrom.
My academic research is 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: 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.
A great example of a successful launch from Cogo Labs using this technology
is EverQuote, the Cambridge-based auto insurance marketplace.