Kyle Bradbury

"The Data+ team created two new datasets that we'll immediately deploy as a part of our core research efforts and will serve as the basis for an upcoming Bass Connections in Energy project. The outputs will be used towards two new research projects on energy infrastructure and access in developing countries, and will serve as the ground truth data for developing machine learning techniques for identifying energy infrastructure and access. The students were fantastic - hardworking, passionate about their work, and all-around wonderful people to work with."

Serge Assad

"Participating in Data+ definitely changed my perception of Data Science research. It was more interdisciplinary than I expected, and the opportunity to work with experts across different fields (Medicine, Civil Engineering, Statistics) was a defining aspect of my Data+ experience."

— Serge Assad, Biomedical Engineering, Electrical & Computer Engineering

Classification of Vascular Anomalies using Continuous Doppler Ultrasound and Machine Learning

Devri Adams

"My participation in the Data+ program has shown me how to successfully work with a dynamic team. Each of my team members were fundamentally different in course interests and background, yet we came together to create a polished product in which we each were a point person for a specific portion. I have also gained confidence in my ability to learn new skills, as I basically taught myself (through Google and asking teammates) how to program in R over this summer."
—Devri Adams, Environmental Science

Susie Choi

"Before Data+, data science research sounded like a non-collaborative job involving PhD-level statistical concepts. Data+, however, showed me that there is a place for collaborative workers from all different backgrounds (and of all skill levels) in data science research. Participating in Data+ has enriched my technical skills as a coder; I am now able to navigate software and employ coding languages that I was not at all familiar with before the start of the program.