Growing up in Romania, Ruxandra Tonea was certain she wanted to become a physics researcher.
But because Romania has limited research funding, she knew she had to leave the country to pursue her research dreams. After landing at Columbia University for her undergraduate degree, Tonea found her path changing. A biomedical engineering course showed her the potential for her research to have real impact, and she began conducting biological research in a university lab.
Then another event changed her course: COVID-19 pandemic. Sent home from college to Romania, she could no longer conduct research in a lab. Instead, she took up computational research, helping to use neural networks to analyze bacterial colonies.
For her PhD, Tonea wanted the ability to combine both parts of her research experience. She found it at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME).
Now, as a PhD student, she’s part of the lab of Asst. Prof. Samantha Riesenfeld and is co-advised by Tom Gajewski, the Abbvie Foundation Professor of Pathology. She studies cancer immunology using both mouse models and computational analysis.
“The program allows you to choose any lab you want,” Tonea said. “I really liked Sam’s lab, but I knew I could also be a part of another lab. And with the students, there is a lot of diversity in what they are studying. The program really promotes creativity and lets you choose what you want to do. That’s what led me here.”
Tonea is investigating the behavior of immune cells in so-called “cold tumors”—tumors that don’t elicit a strong immune response and therefore are resistant to immunotherapy treatments. She’s studying the role of tumor-associated macrophages, immune cells that are known to help create the environment around the tumor that makes it resistant to immunotherapy.
“We are looking for methods to stop this,” she said. “We want to target proteins and other genes that might change these macrophages.” That work involves lab experiments with mouse models and computational tools like single-cell analysis or spatial transcriptomics, which analyzes gene expression throughout tissue.