Shiwangi Singh

Hello, there!

I am a Master’s student in Computer Science at Electronic Visualization Laboratory at the University of Illinois at Chicago. I am interested in Machine Learning/Deep Learning science and a major portion of my Master's degree was spent exploring and applying Deep Learning techniques into various domains.
I am also a part of Creative Coding Research Group at EVL headed by my current advisor Dr. Angus Forbes, where I have been doing research on "Speech Conversion using Recurrent Neural Network".

My interests also include development of applications for getting insights from Big Data, doing Performance Optimization and Data Visualization. Being part of the EVL has taught me to think about Visualization as a means to represent complex information and thereby communicate it with a larger audience.

Recently, I presented a Poster at the 229th American Astronomical Society on "Deep Learning the Universe." This work was done as a Summer Research Intern with Debbie Bard, a Big Data Architect at NERSC at Berkeley Lab. A picture of me presenting my work at AAS in Jan 2017.

As a part of a team at EVL, I participated in VGTC Data Contest 2016 and we recieved an honorable mention for our submission. A picture of the team with our Visualization on our display wall can be found here.

I spent my Summer of 2016 interning at Lawrence Berkeley National Lab. Here I was working on "Finding features in Cosmology Mass Maps" with Debbie Bard in NERSC's Data Analytics and Services Group. I had the opportunity to work on one of the largest Supercomputers and with some of the best scientists in the world. Me and Debbie posing with Supercomputer Cori.

I started working on Research at EVL in 2015 with Dr. Liz Marai on "Finding features in Turbulent Combustion flows using Deep Learning". A big thank you to Dr. Marai for giving me this opportunity to become a part of EVL.

Namaste!