Jay Foley developed and maintained the FoleyLab/data_repository, delivering robust data pipelines and visualization tools for computational and quantum chemistry research. He engineered reproducible workflows for QED-based calculations, expanded molecular datasets, and implemented Python and Jupyter Notebook-based analysis scripts to streamline data processing and plotting. Leveraging skills in data management, scientific computing, and Bash scripting, Jay refactored codebases, improved repository hygiene, and introduced automated input generation for Psi4 calculations. His work emphasized reproducibility, auditability, and maintainability, enabling faster validation and collaboration. Through careful documentation and structured data organization, Jay ensured high-quality, traceable results that support scalable scientific analysis and future research integration.
February 2026 Monthly Summary — FoleyLab/data_repository: Delivered Nitrobenzene Psi4 Calculation Input Support, enabling single-point energy and dipole moment computations for meta- and ortho-nitrobenzene isomers by adding Psi4 input files. This work establishes repository-ready inputs and a traceable change (commit 31e016250decc22dcb26a08b0bf77bec9130181c). No major bugs fixed this month. Overall impact: accelerates automated computational analyses and improves reproducibility for nitrobenzene isomer energetics and dipole properties. Technologies/skills demonstrated: Psi4 input generation, computational chemistry workflow integration, version-controlled input scaffolding and auditability.
February 2026 Monthly Summary — FoleyLab/data_repository: Delivered Nitrobenzene Psi4 Calculation Input Support, enabling single-point energy and dipole moment computations for meta- and ortho-nitrobenzene isomers by adding Psi4 input files. This work establishes repository-ready inputs and a traceable change (commit 31e016250decc22dcb26a08b0bf77bec9130181c). No major bugs fixed this month. Overall impact: accelerates automated computational analyses and improves reproducibility for nitrobenzene isomer energetics and dipole properties. Technologies/skills demonstrated: Psi4 input generation, computational chemistry workflow integration, version-controlled input scaffolding and auditability.
January 2026 monthly summary for FoleyLab/data_repository. This period focused on repository hygiene and data visualization improvements to reduce maintenance overhead and accelerate data-driven decision making. Delivered two main features: Repository Cleanup and Maintenance and Enhanced Data Visualization and Performance. Both changes were implemented with minimal disruption and verified via commit-level changes. Key value includes streamlined repo structure, removal of outdated analysis artifacts, improved plotting performance, and a cleaner codebase with deprecated paths removed. These changes support faster onboarding, reduced confusion, and more reliable analytics workflows.
January 2026 monthly summary for FoleyLab/data_repository. This period focused on repository hygiene and data visualization improvements to reduce maintenance overhead and accelerate data-driven decision making. Delivered two main features: Repository Cleanup and Maintenance and Enhanced Data Visualization and Performance. Both changes were implemented with minimal disruption and verified via commit-level changes. Key value includes streamlined repo structure, removal of outdated analysis artifacts, improved plotting performance, and a cleaner codebase with deprecated paths removed. These changes support faster onboarding, reduced confusion, and more reliable analytics workflows.
Month 2025-11 — Major feature delivery and improvements in FoleyLab/data_repository. Key achievements include the release of a new Chemical Data Visualization and Interpolation Notebook with Logging, enabling transparent data loading and interpolation result logging for better reproducibility and auditability. No major bugs reported this month; minor plotting and stability refinements were completed. The work delivers business value by improving data quality assessment, traceability, and decision support in chemical data analysis.
Month 2025-11 — Major feature delivery and improvements in FoleyLab/data_repository. Key achievements include the release of a new Chemical Data Visualization and Interpolation Notebook with Logging, enabling transparent data loading and interpolation result logging for better reproducibility and auditability. No major bugs reported this month; minor plotting and stability refinements were completed. The work delivers business value by improving data quality assessment, traceability, and decision support in chemical data analysis.
October 2025 monthly summary: Delivered the QED-CC Meta-Results Processing and Visualization feature for FoleyLab/data_repository. Implemented a Python-based pipeline to read and parse meta results, extract parameters (theta, phi, value), and generate interpolated heatmaps to visualize QED-CC meta-data for analytical understanding. This work enhances reproducibility and enables data-driven insights into QED-CC performance.
October 2025 monthly summary: Delivered the QED-CC Meta-Results Processing and Visualization feature for FoleyLab/data_repository. Implemented a Python-based pipeline to read and parse meta results, extract parameters (theta, phi, value), and generate interpolated heatmaps to visualize QED-CC meta-data for analytical understanding. This work enhances reproducibility and enables data-driven insights into QED-CC performance.
June 2025 monthly summary for FoleyLab/data_repository. Delivered end-to-end QED-CASSCF data analysis enhancements, data results refreshes, and repository documentation improvements, along with code maintenance and notebook updates to support current workflows.
June 2025 monthly summary for FoleyLab/data_repository. Delivered end-to-end QED-CASSCF data analysis enhancements, data results refreshes, and repository documentation improvements, along with code maintenance and notebook updates to support current workflows.
May 2025 performance summary for FoleyLab/data_repository. Delivered substantial data updates, plotting enhancements, and data management improvements across LiH, MgH+, and related workflows. Key deliverables include LiH data and figure updates (quick plots, CASSCF and pbe data, LiH figures), MgH+ data and plotting consolidation (QED-tddft data and single MgH+ figure), and LiH WB97x data/notebook. Zenodo directory restructuring established a clear, shareable data organization; LiH moved into Zenodo folders with dedicated sub-structure. Added LiH WB97x data and notebook; performed data naming cleanup for MgH+ JSON files; updated data with higher precision cutoffs; documented QED-DMRG details; and refreshed README for guidance. A bug fix verified fundamental frequency from FD calculations. Enhancements also included vibronic updates and a proactive code review request to align LiH changes with expectations. This work improves reproducibility, accessibility, and speed of downstream analyses while showcasing strong data curation, plotting, and documentation skills.
May 2025 performance summary for FoleyLab/data_repository. Delivered substantial data updates, plotting enhancements, and data management improvements across LiH, MgH+, and related workflows. Key deliverables include LiH data and figure updates (quick plots, CASSCF and pbe data, LiH figures), MgH+ data and plotting consolidation (QED-tddft data and single MgH+ figure), and LiH WB97x data/notebook. Zenodo directory restructuring established a clear, shareable data organization; LiH moved into Zenodo folders with dedicated sub-structure. Added LiH WB97x data and notebook; performed data naming cleanup for MgH+ JSON files; updated data with higher precision cutoffs; documented QED-DMRG details; and refreshed README for guidance. A bug fix verified fundamental frequency from FD calculations. Enhancements also included vibronic updates and a proactive code review request to align LiH changes with expectations. This work improves reproducibility, accessibility, and speed of downstream analyses while showcasing strong data curation, plotting, and documentation skills.
April 2025 monthly performance summary for FoleyLab/data_repository. Focused on delivering a reproducible data pipeline for MgH+ QED-DMRG results, expanding data organization for future QED calculations, and maintaining repository hygiene to enable faster development cycles and clearer business value.
April 2025 monthly performance summary for FoleyLab/data_repository. Focused on delivering a reproducible data pipeline for MgH+ QED-DMRG results, expanding data organization for future QED calculations, and maintaining repository hygiene to enable faster development cycles and clearer business value.
February 2025 monthly summary for FoleyLab/data_repository. Key feature delivered: Refinement of scientific computation outputs for mghp casci, improving accuracy and usability by refining outputs and input parameters. Commit reference 4f308168c55a345d00b5e520010558ed2b0f243e captured the file update. Major bugs fixed: none reported this month; stability maintained. Overall impact: higher-quality results for downstream analyses and more reliable scientific reporting. Technologies/skills demonstrated: Python data processing, scientific computing, data validation, version control (Git), and reproducibility practices.
February 2025 monthly summary for FoleyLab/data_repository. Key feature delivered: Refinement of scientific computation outputs for mghp casci, improving accuracy and usability by refining outputs and input parameters. Commit reference 4f308168c55a345d00b5e520010558ed2b0f243e captured the file update. Major bugs fixed: none reported this month; stability maintained. Overall impact: higher-quality results for downstream analyses and more reliable scientific reporting. Technologies/skills demonstrated: Python data processing, scientific computing, data validation, version control (Git), and reproducibility practices.
January 2025: Focused on expanding molecular data tooling and streamlining repository hygiene to support scalable quantum simulations and future optical tooling integration. Delivered data-backed chemistry datasets, accompanying processing utilities, and a cleaner, more maintainable codebase, enabling faster validation, reproducibility, and collaboration.
January 2025: Focused on expanding molecular data tooling and streamlining repository hygiene to support scalable quantum simulations and future optical tooling integration. Delivered data-backed chemistry datasets, accompanying processing utilities, and a cleaner, more maintainable codebase, enabling faster validation, reproducibility, and collaboration.
Month: 2024-11 – FoleyLab/data_repository: Delivered two major feature sets that strengthen QED-based workflows and expand spectroscopic data assets. No major bugs logged this month. Overall impact includes enabling generation of QED-ready input files, improved HPC run instructions and output naming conventions, and readiness for Perlmutter submissions. Expanded CO spectroscopy resources to support research, with clear data organization for reproducibility.
Month: 2024-11 – FoleyLab/data_repository: Delivered two major feature sets that strengthen QED-based workflows and expand spectroscopic data assets. No major bugs logged this month. Overall impact includes enabling generation of QED-ready input files, improved HPC run instructions and output naming conventions, and readiness for Perlmutter submissions. Expanded CO spectroscopy resources to support research, with clear data organization for reproducibility.
Overview of all repositories you've contributed to across your timeline