Peniel Argaw (EECS '17, Meng '18) is interested in the integration of computer science and medicine. During her summer at Sheba Medical Center, she had the chance to merge the two fields. She worked in the Imaging department to build tools that would aid in the classification of medical images. Under the supervision of radiologist and researcher, Dr. Eyal Klung, she contributed in two separate projects where she worked eagerly to advance the performance of the tools in order to have a larger medical impact. Not only did Peniel engage in the technological aspect of the project, but she also aspired to understand the medical background and hospital workflow. She shadowed a few doctors in varying departments to understand the clinicians’ work and how technology could play a role.
In addition to expanding her medical and technical experience, she also got to immerse herself in Israeli culture. “I wanted to go to Israel to live like a local, not just a tourist,” she said. Living in Israel for the summer, travelling around the area and meeting people of varying ages, backgrounds and ethnicities, she was able to learn about the diverse and unique cultures of the country. “It was interesting to meet people from almost every continent and see how each person’s background was integrated into the overall Israeli culture. This culture was evidently seen at the hospital as well as outside my workplace.”
Returning back to the US, Peniel was excited to integrate her new experiences into her future interests. Working at Sheba Medical Center gave her the opportunity to work with patients, clinicians and researchers of different backgrounds to solve an essential medical problem. She plans to continue working in medical research where these perspectives will be the most helpful. Her technical and cultural experiences will leave a lasting impact in her future endeavors.
“She has shown tremendous initiative and during her internship and produced beautiful work which she presented at the Chaim Sheba innovation center meeting. The Google Images extraction and classification project has been submitted for presentation at the Israeli radiological convention and is now being finished written as a paper, the analysis of the significance of errors in data labeling for deep learning algorithms project is still ongoing and shows promising results”