Daniil Rose

I am an integrated undergraduate-graduate (IUG) student at The Pennsylvania State University, concurrently pursuing a Master of International Affairs (with a concentration in Law, Policy, and Engineering) alongside dual Bachelor of Science degrees in Computer Engineering and German. My work sits at the intersection of technology, organizations, and public decision-making, and increasingly centers on one question: how do organizations come to understand the technologies they adopt, and what does it cost them when that understanding is wrong, or walks out the door?

I came to that question through experience before I had a name for it. As a computer engineer at RTD Embedded Technologies, I inherited a product line after a wave of departures and spent months reconstructing knowledge the company had already paid to create. As President of the 75th Assembly of the Graduate and Professional Student Association (GPSA), I represented over 12,000 students in negotiations with university administration and state officials, and led an organization whose entire leadership turns over every year, where institutional memory is a constant, practical problem.

That question now drives my research. With Dr. Larry Catá Backer, I co-authored "Blockchain Regulatory Systems: Conceptual and Operational Challenges," forthcoming in the Rutgers Computer & Technology Law Journal, which argues that regulators design around a model of what a technology does, and that the model, more than the technology itself, drives implementation failures. My independent work on the U.S. research enterprise, developed through IEEE-USA's WISE program in Washington, D.C., traced how intermediary organizations translate federal research law into university practice, and how policy drifts when the two sides assume a shared understanding they do not have.

My analytical approach is grounded in hands-on engineering and policy experience: a summer as a Cyber Strategy Scholar with Deloitte GPS in Washington, D.C., programming satellite payloads in C and Rust at quub, collaborating on generative AI for robotics with Peraton Remotec and Oak Ridge National Laboratory, and architecting a new IoT product line at RTD. I also had the honor of serving as the emcee for the 2025 Penn State Homecoming.

This fall, I am applying to Ph.D. programs in management and organizations to study organizational learning: how teams and organizations create, retain, and transfer knowledge about new technologies and the rules that govern them, how AI systems change who (or what) knows what, and why shared understandings so often harden into blind spots. I am eager to pursue these questions through experiments, archival and field data, and computational methods, and I aim to build a career in the professoriate studying how organizations learn, why they forget, and what getting it wrong costs them.