PCCI introduces its 2024 class of Sachs Summer Scholars Interns
STEM focused program sets female students side-by-side with AI experts, data scientists and clinicians
PCCI’s summer intern program, Sachs Summer Scholars, Advancing Women in STEM and Technology Summer Internship, has begun, demonstrating PCCI’s ongoing commitment to improving gender diversity in the data science and technology industry. This program has become the one of the premier internship in North Texas that immerses students in meaningful, real word projects with actual impact. This includes providing each intern direct experience with innovative healthcare, groundbreaking artificial intelligence programs and social determinants of health projects. The aim is to support and promote practical applications of analytics, computing, and data science all while advancing the spirit of mentorship and advancement of female students.
The 2024 class of Sachs Summer Scholars includes seven women from diverse backgrounds, hailing from six different universities. Working side-by-side with PCCI clinical and data science experts to hone their programming and analytics skills while building life-long memories of meaningful accomplishments, the interns will work on core projects at PCCI including: disease surveillance systems, brain care predictive modeling, suicide risk screening, jail health and pediatric asthma risk prediction, to name a few.
This class will present findings based on their work with PCCI at a presentation on August 9th, at Pegasus Park.
- Our 2023 Sachs Summer Scholars documented their experiences in this video: https://www.youtube.com/watch?v=nfe4Exc8gRs.
- Our full 2023 Sachs Summer Scholars End of Term program show case can be viewed here: https://www.youtube.com/watch?v=LqUccVbBPNI
The interns are, from left to right: Ozgur Aksoy, University of Texas – Dallas; Serap Ogut, Southern Methodist University; Autumn Carey Noon, Ohio State University; Bengisu Yarimbas, University of North Texas; Emily Thompson, Southern Methodist University; Ferona Bustani, University of Texas – Austin; Saniah Safat, University of Texas – Austin.
