Sourya Dey
Sourya Dey photo

Sourya Dey


I tried to think of a good quote ...
... but never mind that!

sourya.dey@gmail.com
sourya@galois.com

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Biography

Sourya Dey is currently working as a Research Engineer at Galois in the Washington DC metro area. He recently completed his PhD specializing in machine learning at the University of Southern California (USC), where he was a recipient of the Viterbi Graduate School PhD Fellowship. Prior to that, Sourya obtained his Bachelor of Technology (Honours) degree in Instrumentation Engineering from the Indian Institute of Technology (IIT) Kharagpur in 2014, along with the Best Undergraduate Thesis award in his department.
Recent News Nov 18: Our paper on the Deep-n-Cheap AutoML framework will be presented virtually at ACML 2020.
Jul 24: I am one of the organizers for the Information Sciences Institute Graduate Student Symposium (ISI GSS) 2020.

Work

I am currently working on the World Modelers program as part of Galois. We are developing SuperMaaS (Modeling as a Service) as a platform to integrate models to provide comprehensive crisis responses.

My PhD research can be summarized by the title of my thesis — Exploring Complexity Reduction in Deep Learning. I developed a technique known as pre-defined sparsity to reduce the complexity of neural networks with minimal performance degradation. My latest project was on developing an open-source automated machine learning (AutoML) framework called Deep-n-Cheap to search for deep learning models and explore tradeoffs between performance and complexity. I also received an award for developing a family of open-source synthetic machine learning datasets.

My initial PhD research was on non-uniform sampling and mixed signal circuits. I then switched track and was involved in the inception and subsequent growth of a new machine learning group at USC in 2016. Some of my early work involved a hardware architecture, however, I have now completely moved over to the software and theoretical side. My current and future research interests include applying automated deep learning, interpretability of machine learning systems, data science and software engineering.



Deep-n-Cheap logo

A bit more about me

I grew up in the beautiful and very unique city of Kolkata -- the City of Joy. My undergrad days were in nearby Kharagpur, before moving to the entertainment capital of the world -- Los Angeles. I currently live in Arlington in the Washington DC metro area. The natural beauty here is amazing, lots of opportunities to bike and hike!

I like reading, particularly detective thrillers, science fiction and fantasy, and sports-related books. Here's my Goodreads profile, I'd love to connect with other bibliophiles! I am also a big fan of watching football. My ideal weekend is waking up in time to watch Chelsea play and (hopefully) win. Some other activities which I enjoy are swimming, programming, and blogging. Click on the image to read an article I wrote for the USC ECE department blog.