Grants
$19M total: NSF ~$8M, NASA ~$4M, industry ~$4M (Microsoft, Meta, LexisNexis), NSA ~$1.5M, National Archives ~$1M

Papers
300+ papers, 25,000+ cites, h-index=75. Top venues: TSE 38, IEEE Software 32, FSE ~25, ICSE 24, EMSE 24, ASE 24, PROMISE 19

Most-cited
defect predictors (1,969), PROMISE repository (1,471), cross-company data (897), static code features (619), bug report severity (432), ML bias (369), topic modeling (351)

AI, for less
the DRR effect, can AI be easier?, zoom, don't wander, data-light SE, exploiting sparsity, warm-up active learning, compact AI

LLMs
AI & productivity, LLM code efficiency, LLM annotations, domain knowledge

Security
CTI attack patterns, temporal cyberattacks, evasion attacks, bug report classification

Analytics
data-centric fuzzing, MOOT repository, HPO for SE, code mining retrospective

Trust
explaining optimizers, AI in state courts, causal graphs, equalized odds

Other
SE journals in 2036, scoping SE for AI, (re)use of research results

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“We can’t put it together. It is together.”