Language Design & Paradigms

Research into new ways to structure code to make it more readable, maintainable, or safe.

Domain-Specific Languages (DSLs)

Designing languages specialized for narrow tasks (e.g., SQL for databases, Verilog for hardware, Stan for statistics) rather than general-purpose computing.

Concurrency & Parallelism

Designing language primitives (like actors, channels, or futures) that make it easier to write multi-threaded programs without race conditions (e.g., Rust's ownership model, Go's goroutines).

Probabilistic Programming

Languages that treat probability distributions as first-class citizens, used heavily in AI and Bayesian inference.

Quantum Programming Languages

Designing high-level languages (like Q# or Silq) to control quantum computers, abstracting away the physics of qubits.