From Computational Mathematics to National Security: A Journey of Research and Discovery

A Path Defined by Mentorship and Discovery

Diegel’s journey to mathematics wasn’t linear. Initially drawn to Aerospace Engineering, after a year she realized that her true passion lay in computational mathematics and data science. That’s when she met Dr. Mihhail Berezovski, an associate professor of Mathematics, who would become a pivotal mentor in her career.

"Dr. Berezovski gave me real-world experience with industry and showed me the field where math intersects with national security," she says. "Without his guidance, I would not be where I am today."

Through Berezovski’s mentorship, Diegel began conducting research at the Nevada National Security Site, where she learned how to present research, write scientific reports and network in her field. These experiences led her to publish her research, present at international conferences — including in Saudi Arabia — and gain hands-on industry experience, all while still an undergraduate student.

From Embry‑Riddle to a Career in Data Science

After completing her undergraduate degree, Diegel landed an internship at the PNNL — one of the nation’s leading research institutions focused on science and technology advancements.

"Embry‑Riddle prepared me for both industry and research," she explains. "Through the Embry‑Riddle Research Experiences for Undergraduates (REU) program, I learned how to conduct research, communicate my findings and stand out in the job market."

Now, as a full-time Ph.D. student she balances coursework in applied mathematics and machine learning while continuing her role at PNNL.

"A typical day as a Ph.D. student involves a lot of studying and coursework. Most first-year students don’t dive into research right away, but I’ve been fortunate to keep my industry experience going at the same time."

The Reward of Research and Impactful Work

One of the most exciting moments in Diegel’s career so far was receiving acceptance letters to all three of her top-choice graduate programs.

"I spent months on applications, doing everything I could to stand out," she recalls. "When I got my first acceptance ... I was over the moon. That was the moment I realized that everything I had done at Embry‑Riddle was worth it."

Beyond academia, Diegel finds immense fulfillment in her work at PNNL.

"At the lab, I get to work on real-world problems that have a huge impact on the United States. I love the work I do in national security because it directly affects the people around me," she says.

Challenges, Opportunities and Advice for Future Scientists

As artificial intelligence continues to reshape industries, Diegel sees both opportunities and challenges in its integration with national security.

"AI is advancing at such a rapid pace that it can be difficult to keep up, but it’s also one of the most powerful tools we have. Learning how to harness it effectively is crucial."

She also believes that success in data science and mathematics requires a unique skill set:

• Programming and critical thinking to solve complex problems
• A creative and open mindset to approach research from new angles
• Strong communication skills to present findings effectively
• A curiosity for learning that drives continuous growth