Hybrid · Cambridge, MA

• Led the Sherpa tool modernization, shifting the project off ClearCase, rebuilding packaging, and positioning Sherpa as a standalone open-source distribution alongside Astropy and other Astronomy ecosystems.
• Went spelunking through decades-old C++/Python, carving out cleaner seams and adding gtest/pytest coverage so the team can refactor without holding its breath.
• Turned a one-off helper script into Runpipes, a TypeScript web app that lets developers queue, inspect, and profile catalog pipelines from their laptop or a shared cluster node.
• Spent time shoulder-to-shoulder with catalog scientists to design a QA workspace that organizes and launches their sessions, whether working remotely or locally.
• Prototyped the CfA Nexus, a cloud-native, integrated data analysis platform for the Center for Astrophysics | Harvard & Smithsonian.
• Wrote calibration helpers that collapsed multi-hour jobs into seconds.

Hybrid · Global

• Co-led the IVOA Data Modeling Working Group to deliver interoperable data/metadata standards across global astronomical archives.
• Coordinated cross-project specification reviews, aligning working groups so new standards shipped with shared implementation guidance and consensus.
• Founded and led the VO-DML Tiger Team, serving as lead editor for the VO Data Modeling Language and its mapping specification to give the VO a modular, serialisable meta-model.
• Worked hands-on with international observatories and data centres so VO-DML, time-series, and space-time coordinate models addressed operational use cases including multi-dimensional data cubes.
• Delivered technical presentations, facilitated multi-institution reviews.

On-site · Cambridge, MA

• Architected the Iris desktop application for building, visualising, and modelling spectral energy distributions, integrating VOTable/SAMP standards with Sherpa’s fitting engine.
• Designed the plug-in framework and SDK so third parties could add services and tools.
• Co-authored the 2014 Astronomy & Computing paper and presented at a number of IVOA Interops.

On-site · Trieste, Italy

• Designed and delivered VOdka, an asynchronous agent that monitors VO services, snapshots resources, and automates data harvesting for users.
• Built VODance, a Django/GlassFish framework that let non-VO experts publish ConeSearch/SIAP services directly from MySQL tables with metadata mapping and policy controls.
• Collaborated on VO standard drafts and prototypes, ensuring OATs and INFN implementations aligned with broader DAME/Iris astroinformatics tooling.

On-site · Naples, Italy

• Led the architecture and core implementation of DAME/DAMEWARE, a web-based, Virtual Observatory–compliant astro-ML platform delivering multi-tenant workflows for classification, regression, and clustering at survey scale.
• Designed service-oriented orchestration that bridged VO standards with grid/HPC backends such as S.Co.P.E., letting scientists compose reproducible knowledge-discovery pipelines across heterogeneous resources.
• Implemented reusable model catalogs and dataset adapters so researchers could swap neural nets, SVMs, SOMs, and other algorithms without touching data plumbing.
• Partnered with INAF, Caltech, and University of Naples teams to productionize science cases (AGN/galaxy classification, globular-cluster searches) and published the findings.
• Designed the Weak Gated Experts method for photometric redshift estimation on SDSS galaxies and quasars, pairing unsupervised clustering with specialized regressors and per-object uncertainty estimates.
• Validated the approach on quasar candidate catalogues, achieving competitive accuracy and efficiency that later informed astroinformatics publications and invited talks.

On-site · Naples, Italy

• Maintained INFN Naples high-performance compute, grid, and storage services supporting physics and astroinformatics workloads.