A
A — AI
Resource-Efficient Foundation Models for Code
Quantization, parameter-efficient fine-tuning, and distillation that make code-intelligence models cheap enough to deploy at developer scale — without sacrificing quality.
Reliable AI for the
next generation of
software.
Assistant Professor Department of Computer Science William & Mary
I work at the intersection of AI, NLP, and Software Engineering — building, evaluating, and rethinking AI-driven approaches to software practice, with an emphasis on explainability, efficiency, and trustworthiness. PhD from USI Lugano (2024); now advising six PhD students at William & Mary.
- Office
- Integrated Science Center 4 (ISC4) · Office 2333 · 540 Landrum Dr, Williamsburg, VA 23185
- AURA
- AI for Understandable and Responsible Automation · the lab →
- Editorial
- Spotlight on Transactions column · IEEE Computer
- Advising
- 6 PhD students at the AURA Lab
- Teaching
- UGPrompt Engineering · UG·GRGenAI for SW Dev · GRAI for SE
The journey
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2018–2020🇮🇹Molise, IT
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2020–2024🇨🇭Lugano, CH
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2024 — present🇺🇸Williamsburg, VA
02
Research focus
Four threads spelling A·U·R·A.
AI for code · Understanding what models do · Reliable evaluation of how they behave · Automation that practitioners can trust. Each letter is a multi-paper research line.
U
U — Understanding
Neurosymbolic Reasoning & Interpretability
Combining neural language models with grammars, type systems, and program analysis — plus feature-level explanations that move beyond opaque token-by-token predictions.
R
R — Reliable
Reliability, Causality & Honest Evaluation
Causal reasoning, counterfactual analysis, and rigorous LLM-as-a-Judge methodologies that measure what matters in code AI — not what's easy to measure.
A
A — Automation
AI Agents for the Software Lifecycle
Designing autonomous agents that plan, reason, and execute multi-step software workflows — from issue triage to code review — with measurable end-to-end behavior.
03
Live feed
Latest from the lab.
Paper acceptances, grants, talks, and honors — current and recent.
2026