Summary
Catalina Vajiac is a PhD student at Carnegie Mellon University with a decade of experience bridging research and software engineering across academia and industry. She completed a rigorous 4-1 dual degree program earning B.S. degrees in Computing & Applied Mathematics (Saint Mary’s) and Computer Science (Notre Dame) with top grades. Her research spans probabilistic graph grammars and numerical precision in deep learning, and she has practical engineering experience from an IBM software internship. Catalina has taught foundational mathematics and computer science courses, signaling strong communication and mentoring skills alongside technical depth. Based in Granger, Indiana, she blends a code-and-coffee enthusiast’s hands-on coding habit with a researcher's rigor, often collaborating on projects that connect theory to applied systems.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.S.), Computing and Applied Mathematics, 3.91, Bachelor of Science (B.S.), Computing and Applied Mathematics, 3.91 at Saint Mary's College
Bachelor’s Degree, Computer Science, 3.90, Bachelor’s Degree, Computer Science, 3.90 at University of Notre Dame
English, Romanian, French