I am a Research Staff Member at IBM T.J. Watson Research Center,
currently working on cloud infrastructure. My main project is
OpenWhisk, a serverless computing platform. OpenWhisk is open source,
check it out: http://openwhisk.org.
I am always looking for collaborations, so send me an email if
you'd like to work together.
Recently, I started a collaboration with researchers from the Data
Science department at IBM. This summer I am working on a joint project under
the Data for Social Good program.
In the past at IBM, I worked on different projects related to application
performance and heterogeneous computing platforms (including GPUs and
FPGAs). Having spent most of my life in school, I still enjoy taking online classes, such as Machine Learning, Probabilities (on Coursera), and the Design Thinking class (by Acumen and IDEO).
I am active in the research community and try to help with program committees and NSF panel reviews. This year I served in the program comittees of ISPASS'16, Supercomputing'16 and DSN'16.
I got my PhD from University of Toronto in 2012 where I worked mainly
on computer architecture and runtime systems. I also have a Masters
degree from the same university. During my grad studies, I interned
with IBM Research and Intel Labs. While in grad school, I obtained
several scholarships, including the NSERC Canada Graduate Scholarship
(NSERC is the NSF equivalent in Canada), the Google Canada Anita Borg
Scholarship and the IBM PhD Fellowship.