A group of 35 students from the University of California (UC) Merced and UC Riverside recently participated in the Data Science Challenge (DSC) at Lawrence Livermore National Laboratory.
The two-week event involved students working in teams to solve tasks related to machine learning-assisted heart modeling using real electrocardiogram (ECG) data.
The challenge aimed to provide interdisciplinary teamwork experience and expose students to national laboratory work. It also allowed first-generation college students to explore science careers beyond software engineering.
During the event, the students worked on four different tasks related to machine learning-assisted heart modeling.
They used real ECG data to predict heart health, with tasks ranging from simple classification problems to reconstructing a full heart activation map.
At the end of the challenge, the students presented their work in a poster session. The event provided a meaningful experience for the students, particularly those who are the first in their families to attend college.
It allowed them to consider science careers beyond web development or software engineering.
The challenge also included talks from LLNL staff members on their work at the Lab, as well as networking opportunities with professionals and guidance from Lab mentors.
The students found the experience rewarding, with some considering future careers or internships at LLNL.
In addition, the students attended a joint seminar with the Livermore Lab Foundation, featuring a communications expert who discussed how to communicate scientific and technical ideas to non-scientists.
The event was facilitated by UC Riverside associate professor Vagelis Papalexakis and LLNL’s Sira Neily provided administrative support.
The DSC was sponsored by LLNL’s Data Science Institute, the Center for Applied Scientific Computing, and the Academic Engagement Office, with additional support from the University of California Office of the President’s Office of the National Laboratories.
For the first time, students from @UofCalifornia's @UCMerced and @UCRiverside joined forces for the two-week Data Science Challenge at #LLNL, tackling a real-world problem in machine learning-assisted heart modeling. More on the event by @Livermore_Comp: https://t.co/xtphhj4tUr
— Lawrence Livermore National Laboratory (@Livermore_Lab) August 9, 2023
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