I am a Research Staff Member at IBM T.J. Watson Research Center in the IBM Research AI organization. I am currently working on systems and tools that facilitate scientific discoveries. I am passionate about projects around Social Good and I participate as a mentor in the Science for Social Good program.
Before joining IBM Research AI, I worked on cloud infrastructure and serverless platforms. I was one of the core researchers of the OpenWhisk serverless platform, now offered as IBM Cloud Functions. OpenWhisk is open source, check it out: http://openwhisk.org.
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. I am also an avid supporter of diversity of thought in computing. As such, I help organize and participate in activities meant to support and promote women in computing. I am an avid supporter of diversity of thougth and I try to help as much as I can increase diversity in tech.
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. I am the recipient of several scholarships, including the NSERC Canada Graduate Scholarship (NSERC is the NSF equivalent in Canada), the Google Canada Anita Borg
Scholarship (Women Tech Makers) and the IBM PhD Fellowship.
I am married to an extremely supportive computer science researcher and together we have a little boy who amazes us with his energy and boundless joy. We are immigrants to this country from two different continents and are proud of our multi-cultural family!