Lev Stambler

Lev Stambler is a PhD student and Adjunct Assistant Professor at the University of Maryland. His primary advisor is Matthew Coudron. Stambler's research focuses on cryptography, quantum computing, and information theory, with notable contributions to quantum memory security, cryptographic protocols, and adversarial AI model analysis.

His work bridges theoretical foundations and practical applications, including quantum one-time memories, stateless hardware security, and transformer model vulnerabilities. Recent publications explore geometric adversary models for one-time programs, blockchain-secured cryptographic primitives, and hypergraph product codes for quantum error correction.

Stambler's research trends emphasize cross-disciplinary integration of quantum computing with classical cryptography, as well as formal verification of machine learning systems. No scientific awards are explicitly mentioned in the provided texts. He collaborates on projects addressing decoding failures in hypergraph product codes and weighted secret sharing mechanisms derived from wiretap channels.