Harvard’s CS PhD empowers researchers to push boundaries in AI alignment, privacy‑preserving computation, and quantum architectures. Doctoral cohorts publish at NeurIPS and SIGCOMM, deploy planet‑scale storage prototypes, and author policy briefs on algorithmic equity. Interdisciplinary centers—Berkman Klein, Kempner Institute—foster collaborations linking computing with law, neuroscience, and climate science.
Formal verification of large‑language‑model safety constraints
Zero‑knowledge proof compiler for smart‑contract auditing
Energy‑adaptive scheduling in edge‑cloud neural networks
Differential‑privacy toolkit for synthetic census microdata
Congestion‑control algorithm optimized for satellite ISPs
Interactive theorem‑proving assistant for math education
Quantum error‑correcting code tuned to photonic qubits
Explainable‑AI dashboard for clinical decision support
Robust federated‑learning framework combating poisoning attacks
Ethnographic study of gig‑platform algorithmic management
Human‑AI co‑creativity system for climate‑policy drafting
Data‑center carbon‑footprint minimization via reinforcement learning
Open‑source library for computational social‑science experiments
Policy brief on antitrust implications of foundation models
VR interface enabling accessible programming for people with disabilities
Design ethical, powerful computing foundations for a connected world.
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