April 19, 2022
Computational engineering student Harrison Jin is the recipient of the 2022 Graham F. Carey Computational Science Scholarship.
The Graham F. Carey Computational Science Scholarship was established to honor the important work of Professor Graham F. Carey in the computational sciences. The $2,500 scholarship is awarded annually and gives preference to participants in the undergraduate CSE Certificate Program and to UT Austin students in the Moncrief Summer Internship Program.
“Coming into undergraduate school, I didn't know what career I wanted to go into,” Jin said. “The ability to gain insight into many different disciplines through computational engineering was great and helped me to figure out what kinds of things I like. We get exposed to a lot of different fields as computational engineers and I really enjoy that.”
Jin said he applied for the Carey Scholarship because he was very interested in computational science and engineering but also because the scholarship would help cover the tuition fees for the final year of his undergraduate degree.
Jin is interested in the autonomous robotics side of computational engineering - specifically, control theory. Last semester he took feedback control with Ufuk Topcu. This semester, he is taking Todd Humphreys’ aerial robotics class. Jin is also a member of Texas Aerial Robotics, a UT student organization that builds and programs fully autonomous drones.
Despite his packed class schedule, Jin knows there's a lot to learn that couldn't possibly fit into his last year of undergraduate school.
“I’d like to take a few years off from academia and go into industry before coming back for graduate school,” said Jin. “This summer, I’m working as an intern for Aurora, a self-driving car company. One reason I’m so interested in Aurora and self-driving cars is that there are still so many interesting, unsolved problems to work on in this space. I’m looking forward to my last year of undergraduate school. I hope to learn a lot and make the most of every opportunity.”
The original version of this story was published by the Oden Institute ford Computational Engineering and Sciences.
