ORNL is proud of its role in fostering the next generation of scientists and engineers. We bring in talented young researchers, team them with accomplished staff members, and put them to work at the lab’s one-of-a-kind facilities. The result is research that makes us proud and prepares them for distinguished careers.
We asked some of these young researchers why they chose a career in science, what they are working on at ORNL, and where they would like to go with their careers.
Kevin De Angeli
Graduate student, Computational Sciences and Engineering Division
Ph.D. student, Data Science and Engineering, University of Tennessee, Knoxville (Bredesen Center)
Hometown: Buenos Aires, Argentina
What are you working on at ORNL?
My research focuses on developing and improving machine learning models to classify cancer pathology reports. Information extraction from clinical reports is an expensive, time-consuming task that is performed by experts. By building robust deep learning models, we hope to expand our understanding of cancer trends across the U.S.
What would you like to do in your career?
I want to continue developing and applying data science tools to help communities and create more opportunities for future generations. Throughout my years in academia, I have learned the importance of good mentorship, so I would also like to mentor the future generation of scientists.
Why did you choose a career in science?
I have always enjoyed mathematics and computer science. By pursuing data science, I am able to work at the intersection of both fields while solving real-world problems that can potentially have an impact in society.
