Benyamin Jacob

Hi! I’m Benyamin Jacob, a postgraduate student at the University of Detroit Mercy. You can find my CV here.

I’m a multidisciplinary researcher focused on the intersection of mathematics, artificial intelligence, and philosophical inquiry. I explore questions in algorithmic complexity, computational learning theory, and game theory, not as abstract curiosities but as tools for shaping how machines reason, decide, and adapt. My work is a continuous dialogue between mathematical insight and systems that move in the world.

More specifically, I’m drawn to reinforcement learning as a paradigm for recursive improvement. I’m interested in how self-referential frameworks, grounded in formal mathematics, can push RL systems beyond performance metrics toward introspective behavior and ethical awareness. These themes converge in my interest in building interpretable, principled AI systems.

Research Themes

• Mathematics for AI: Developing formal models and structures that extend the reasoning capabilities of intelligent systems
• Explainable AI (XAI): Making machine reasoning transparent through algorithmic clarity and mathematical precision
• Philosophy of AI: Exploring the ethical, epistemological, and ontological dimensions of building and deploying intelligence

My ultimate goal is to contribute to our collective understanding of intelligence, both artificial and human, by drawing from the precision of mathematics and the rigor of philosophical thought.

In my leisure, I enjoy exploring different branches of mathematics (currently learning homotopy type theory) and philosophy (currently immersed in analytical philosophy). I also enjoy stargazing when the skies are clear.

If you’re interested in discussing anything related to math, AI, or philosophy, feel free to reach out.

Freedom is the will to be responsible to ourselves. ~ Friedrich Nietzsche