About Jaime Berkovich

Building AI systems for adaptive, bio-inspired materials.

MIT PhD Candidate in Materials Science and Engineering • DoD NDSEG Fellow • Bridging Automata, AI, and Materials Design

Cellular Automata Generative AI Bio-inspired Materials Adaptive Systems
Black-and-white headshot of Jaime Berkovich

Research Focus

I am a PhD candidate at MIT in Materials Science and Engineering, where I focus on uniting cellular automata and generative AI to design adaptive, sustainable, and multifunctional materials inspired by nature. My research bridges the gap between computational methods and practical materials applications.

Background & Experience

My research journey spans diverse areas including biomaterials, bioelectronics, nanoparticle therapeutics, thin-film fabrication, and lunar materials research. This broad foundation helps me approach materials design from multiple perspectives and turn ideas into testable systems.

Current Work

My current research focuses on AI-driven approaches to materials design, particularly using cellular automata and generative models. I explore how simple rules can generate complex, self-organizing structures that mimic natural systems.

Education & Recognition

  • PhD Candidate - Materials Science and Engineering, MIT
  • DoD NDSEG Fellow - National Defense Science and Engineering Graduate Fellowship
  • Research Areas - Cellular Automata, AI/ML, Bio-inspired Materials, Nanotechnology

Publications & Projects

My work has been published in venues including npj Artificial Intelligence, and I led ACRE (Autonomous Casting RovEr) for NASA's BIG Idea Challenge. I care about translating fundamental research into practical applications that can benefit society.