The AI & Big Data Team provides guidance and technical support to advance your research.
Artificial Intelligence and Big Data Group Leader, Pittsburgh Supercomputing Center
Interim Director, Pittsburgh Supercomputing Center
Interns in the AI & Big Data group collaborate with group members and experts in data and computational science on projects which apply AI to real-world challenges.
Pankaj Bhojwani has an interest in machine learning and is double majoring in Physics and Computer Science at Carnegie Mellon, expecting to graduate in May 2020. His project focuses on using machine learning to analyze medical waveform signals.
Matthew Bialecki will complete a dual BS/MS program in Computer Science at the University of Pittsburgh in May 2020, and is interested in data and AI. His work with the AI&DB group includes creating a dashboard using ElasticSearch, Kibana, and ZomboDB to help visualize job and grant data for users, Bridges metrics, and log reporting; creating web pages for database data using Ruby on Rails; and creating an interactive page to distinguish grants in traditional HPC fields from those in areas that have not traditionally used HPC.
Tina Chang is a student in the Masters in Information Science Management program, Business and Data Analytics path, at Carnegie Mellon, with an interest in predictive modeling and exploratory data analysis. She expects to graduate in December 2018. Her project involves RNA small molecule binding.
Alice Lee is a student in the Masters in Information Science Management program at Carnegie Mellon. She expects to graduate in December 2018. Her interests include data analytics and visualization. She is working on a dashboard displaying real-time visualization of Bridges data for the AI&BD group.
Anand Sakhare is a student in the Masters in Information Science Management program, Business and Data Analytics path, at Carnegie Mellon. He expects to graduate in December 2018. His interests lie in deep learning, machine learning, and AI.