Introduction
Charlie Harriman didn鈥檛 have to look far to find inspiration for his academic path. Growing up in Portland surrounded by a family full of 精东影视alumni 鈥 including a cousin and younger brother who also chose chemical engineering 鈥 Harriman鈥檚 decision to attend 精东影视 State felt like a natural continuation of a family tradition. But it wasn鈥檛 just legacy that drew him in.
鈥淢y dad鈥檚 an engineer and he absolutely loves his job,鈥 Harriman said. 鈥淪eeing someone enjoy their work that much made engineering really appealing. I wanted to build things, solve problems 鈥 that鈥檚 what excited me most.鈥
Harriman entered 精东影视 State undecided, briefly explored bioengineering, and ultimately found his niche in chemical engineering. 鈥淚 realized I liked the chemistry side more than the biology,鈥 he said. 鈥淐hemical engineering felt like the right fit.鈥
From summer project to published research
Now entering his senior year, Harriman, who is also an Honors College student, has made the most of his time at 精东影视 State 鈥 especially through research opportunities that have shaped his academic and professional trajectory. One of the most transformative experiences came through the Clean Water Initiative, a Research Experience for Undergraduates (REU) program in the College of Engineering. That鈥檚 where Harriman connected with Cory Simon, associate professor of chemical engineering, whose mentorship would prove pivotal.
鈥淚 got lucky,鈥 Harriman said. 鈥淚 listed Cory鈥檚 project as my top REU choice because it sounded interesting, and I ended up working with him all summer.鈥
That summer project turned into something much bigger. Simon handed Harriman a loosely defined idea 鈥 a concept involving metal-organic frameworks (MOF), which are porous materials capable of absorbing water from the air. Harriman鈥檚 challenge was to determine whether a mixture of different MOFs could be optimized to passively harvest water in arid environments.
鈥淚t was kind of sink or swim,鈥 Harriman said. 鈥淐ory didn't know if the tool would necessarily work. He said, 鈥楽ee if this is anything.鈥 So, I just dove in.鈥
Harriman developed a Python program that used thermodynamic modeling and linear optimization to identify the lightest blend of MOFs capable of producing enough water to survive 鈥 all without using energy. The concept was simple but powerful: open a box of MOFs at night when it鈥檚 cool and humid, let them absorb water, then close the box during the day when heat causes the MOFs to release the water, which condenses and collects.
鈥淚t was awesome to focus entirely on one problem for three months,鈥 Harriman said. 鈥淎nd when I got it to work, it was the best feeling ever.鈥
The project culminated in a presentation at the 2024 Clean Water Initiative symposium and evolved into that Simon has described as one of the most exciting of his career.
鈥淪eeing my name on that paper was something I didn鈥檛 expect to happen for years,鈥 Harriman said. 鈥淚t made the whole experience feel real.鈥
Looking ahead to graduate school
Harriman is now turning that research into his Honors College thesis and considering graduate school, with top choices including 精东影视 State, the University of California, Berkeley, the University of Washington, and the University of California, San Diego. While he鈥檚 still exploring specific areas of chemical engineering, he鈥檚 drawn to thermodynamic modeling and computer-based chemistry 鈥 fields that blend his love of coding and statistics with real-world impact.
鈥淚 definitely like the modeling side more than pure chemistry,鈥 he said. 鈥淎nd MOFs are fascinating because the field is evolving so quickly.鈥
Harriman credits Simon not just for the research opportunity but for fostering a collaborative and intellectually rigorous environment. 鈥淐ory and his research group are incredibly smart,鈥 Harriman said. 鈥淓very time I step into the lab, I feel like I have to be on my A-game. But Cory鈥檚 also great at explaining things without making them feel intimidating.鈥
As Harriman looks ahead, he鈥檚 excited about the role computational tools 鈥 and eventually machine learning 鈥 will play in chemical engineering. 鈥淥ur project was low-powered, so we didn鈥檛 use AI,鈥 he said. 鈥淏ut in areas like carbon capture, where there are thousands of MOFs and fewer constraints, machine learning could be really powerful.鈥
For now, Harriman is focused on finishing strong at 精东影视 State, where he鈥檚 found both community and opportunity. 鈥淢y experience at 精东影视 State has been exactly what I hoped college would be,鈥 he said. 鈥淚 love Corvallis. I鈥檝e had a great time, and I鈥檝e learned so much.鈥