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I’m Snigdha Petluru, a first year Ph.D. student at the School of Information and Library Science at the University of North Carolina at Chapel Hill. My advisor is Dr. David Gotz and I am affiliated with the Visual Analysis and Communications Lab (VACLab), where I am working towards developing visual analysis tools and machine learning techniques to tackle challenges posed by high-dimensional big data.

My broad research interests lie at the interaction of machine learning, visual analytics, and human-computer interaction, and I’m currently exploring this overlap in the context of healthcare data. I am particularly intrigued by the complexities posed by high dimensional and highly imbalanced big data, and how visual analytics can aid decision making with regards to such data.

Here is a link to my CV.

Before starting my Ph.D. program in August 2017, I graduated in May 2017 from the College of Information Studies at the University of Maryland with a Master’s Degree in Information Management, specializing in Data Analytics. During this time,  I was affiliated with the Computational Journalism Lab, advised by Dr. Nicholas Diakopoulos, where in collaboration with the Washington Post, I worked on building machine learning models to predict subscription patterns based on temporal user interaction with commenting systems.

I also had an opportunity to work under the guidance of Dr. Andrea Wiggins at the Open Knowledge Lab examining the motivational factors promoting long-term collaboration in citizen science, and Dr. Michel Cukier at the Maryland Cybersecurity Center (MC2), where I designed experimental studies to examine the influence of personality on perceptions about the reliability of mobile applications. In May 2015, I received my B.Tech. in Information Technology from Jawaharlal Nehru Technological University Hyderadbad (JNTU-H).

Aside from research, I’m an avid reader (ask me anything about Harry Potter), and an aspiring writer. I founded DataLeague, an open data hackathon, along with a team of incredibly motivated friends at UMD. I’m always looking for opportunities to collaborate, so please do reach out to me so we can schedule a time to chat!

Thanks for visiting my site!