RBVI/ChimeraX
Apr 2025 – Feb 2026
7 Months active
Languages Used
Python
Technical Skills
Backend DevelopmentCommand Line InterfaceCross-platform DevelopmentGPU ComputingPython ScriptingSubprocess Management
Tom Goddard
PROFILE
Tom Goddard
Tom Goddard contributed to the RBVI/ChimeraX repository by developing and refining backend and user-facing features for bioinformatics workflows, focusing on GPU-accelerated prediction modules and robust cross-platform support. He implemented subprocess management and CUDA programming in Python to improve prediction reliability and performance, including GPU detection and precision options for large-scale structure analysis. Tom enhanced input handling and GUI logic for ligand affinity predictions, addressed installation and configuration issues for Linux environments, and fixed platform-specific bugs affecting usability. His work demonstrated depth in backend development, Linux administration, and scientific computing, resulting in more stable, scalable, and user-friendly research tools.
Overall Statistics
Feature vs Bugs
64%Features
Repository Contributions
19Total
Bugs
5
Commits
19
Features
9
Lines of code
412
Activity Months7
Your Network
13 peopleSame Organization
@cgl.ucsf.edu3
Shared Repositories
10
Work History
February 2026
5 Commits • 2 Features
Feb 1, 2026February 2026 (RBVI/ChimeraX) - Monthly summary of key technical accomplishments and business value: Key features delivered: - Linux CUDA build and Ninja path compatibility: configured executable search path to the OpenFold venv bin so Torch can locate Ninja for CUDA builds, improving Linux build reliability. (Commits: e2afdf2d99b10f60933265e9856b9f07cfeb58bc; a02edb49b611c8215801c17ac640fe7d9f74e834) - ChimeraX OpenFold Predict precision option: added a user-controlled precision option to the ChimeraX openfold predict command to balance accuracy and performance. (Commit: e602694433ef1952930f3daa3cd21de16b78be74) Major bugs fixed: - OpenFold installation robustness: ensure installation creates the ~/.openfold3 directory for weights if it does not exist, preventing install-time errors. (Commit: b7a431f71006163a8a899e83a1ddc81fd2663380) - Wayland/Nvidia drag selection bug fix: implemented a workaround for Linux Wayland Nvidia bug causing mouse drag selection to hang by adjusting front buffer rendering based on the graphics environment. (Commit: 6d31bd9b202c6f7801a56d6238acfefc4d2bd0fd) Overall impact and accomplishments: - Increased reliability of OpenFold deployment on Linux, reducing setup friction for users and CI. - Stable CUDA builds and improved end-user control over computational precision, leading to more predictable performance. - Reduced UI interaction issues on Wayland Nvidia setups, enhancing user experience in ChimeraX workflows. Technologies and skills demonstrated: - Linux system configuration, virtual environments, path management, and Python packaging. - CUDA build processes with Ninja, and integration with OpenFold in ChimeraX. - ChimeraX command extension and user-focused feature tuning (precision option). - Debugging across Linux graphics stacks (Wayland/Nvidia) to improve stability. Business value: - Lower support and installation friction, faster onboarding for researchers, and more predictable resource usage and performance in model prediction workflows.
5 Commits • 2 Features
Feb 1, 2026February 2026 (RBVI/ChimeraX) - Monthly summary of key technical accomplishments and business value: Key features delivered: - Linux CUDA build and Ninja path compatibility: configured executable search path to the OpenFold venv bin so Torch can locate Ninja for CUDA builds, improving Linux build reliability. (Commits: e2afdf2d99b10f60933265e9856b9f07cfeb58bc; a02edb49b611c8215801c17ac640fe7d9f74e834) - ChimeraX OpenFold Predict precision option: added a user-controlled precision option to the ChimeraX openfold predict command to balance accuracy and performance. (Commit: e602694433ef1952930f3daa3cd21de16b78be74) Major bugs fixed: - OpenFold installation robustness: ensure installation creates the ~/.openfold3 directory for weights if it does not exist, preventing install-time errors. (Commit: b7a431f71006163a8a899e83a1ddc81fd2663380) - Wayland/Nvidia drag selection bug fix: implemented a workaround for Linux Wayland Nvidia bug causing mouse drag selection to hang by adjusting front buffer rendering based on the graphics environment. (Commit: 6d31bd9b202c6f7801a56d6238acfefc4d2bd0fd) Overall impact and accomplishments: - Increased reliability of OpenFold deployment on Linux, reducing setup friction for users and CI. - Stable CUDA builds and improved end-user control over computational precision, leading to more predictable performance. - Reduced UI interaction issues on Wayland Nvidia setups, enhancing user experience in ChimeraX workflows. Technologies and skills demonstrated: - Linux system configuration, virtual environments, path management, and Python packaging. - CUDA build processes with Ninja, and integration with OpenFold in ChimeraX. - ChimeraX command extension and user-focused feature tuning (precision option). - Debugging across Linux graphics stacks (Wayland/Nvidia) to improve stability. Business value: - Lower support and installation friction, faster onboarding for researchers, and more predictable resource usage and performance in model prediction workflows.
February 2026
December 2025
2 Commits • 1 Features
Dec 1, 2025In December 2025, focused on enhancing Boltz server portability for ChimeraX and stabilizing the nogui installation flow. Delivered code changes to specify Boltz server executable location and use relative configuration paths, reducing environment-specific issues and improving cross-environment usability. Fixed nogui installer to ensure subprocess output is continuously logged while the thread runs, preventing hangs and silent failures and improving user experience. These changes reduce deployment friction and support smoother automated workflows across teams.
December 2025
2 Commits • 1 Features
Dec 1, 2025In December 2025, focused on enhancing Boltz server portability for ChimeraX and stabilizing the nogui installation flow. Delivered code changes to specify Boltz server executable location and use relative configuration paths, reducing environment-specific issues and improving cross-environment usability. Fixed nogui installer to ensure subprocess output is continuously logged while the thread runs, preventing hangs and silent failures and improving user experience. These changes reduce deployment friction and support smoother automated workflows across teams.
August 2025
5 Commits • 2 Features
Aug 1, 2025Summary for 2025-08: Focused on improving Boltz ligand affinity predictions in RBVI/ChimeraX, boosting robustness, usability, and accuracy. Delivered consolidated input handling improvements across Boltz predictions, including warnings for multi-component covalently connected ligands, robust YAML SMILES handling, escaping of special characters, and changes to input formats to support comma-separated ligand lists and underscore-based output names. Ensured only single-component ligands are processed for affinity prediction, reducing erroneous results. Also released GUI enhancement: Boltz Prediction GUI now auto-enables affinity prediction when 'each ligand' is selected, with updated affinity value mapping and prediction update logic. These changes improve reliability of predictions, streamline workflows for researchers, and lay groundwork for scalable multi-ligand screening.
5 Commits • 2 Features
Aug 1, 2025Summary for 2025-08: Focused on improving Boltz ligand affinity predictions in RBVI/ChimeraX, boosting robustness, usability, and accuracy. Delivered consolidated input handling improvements across Boltz predictions, including warnings for multi-component covalently connected ligands, robust YAML SMILES handling, escaping of special characters, and changes to input formats to support comma-separated ligand lists and underscore-based output names. Ensured only single-component ligands are processed for affinity prediction, reducing erroneous results. Also released GUI enhancement: Boltz Prediction GUI now auto-enables affinity prediction when 'each ligand' is selected, with updated affinity value mapping and prediction update logic. These changes improve reliability of predictions, streamline workflows for researchers, and lay groundwork for scalable multi-ligand screening.
August 2025
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025: Delivered targeted reliability and analytics enhancements for RBVI/ChimeraX. Key business value includes cross-platform stability for the Boltz Prediction Module and improved visibility into predictions through per-sample confidence metrics, enabling better decision-making and automation. Technical achievements include fixing a cross-OS import issue and introducing per-sample confidence reporting across multiple BoltzRun samples. This work strengthens platform reliability, reduces debugging time for users, and demonstrates effective Python module management, logging, and data formatting.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025: Delivered targeted reliability and analytics enhancements for RBVI/ChimeraX. Key business value includes cross-platform stability for the Boltz Prediction Module and improved visibility into predictions through per-sample confidence metrics, enabling better decision-making and automation. Technical achievements include fixing a cross-OS import issue and introducing per-sample confidence reporting across multiple BoltzRun samples. This work strengthens platform reliability, reduces debugging time for users, and demonstrates effective Python module management, logging, and data formatting.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 — RBVI/ChimeraX delivered a targeted UX enhancement to the crash reporter on Linux, improving user awareness about the need for an email address in crash reports and enabling more complete diagnostic data. The change reduces user confusion and increases submission rates, supporting faster triage and reliability improvements.
1 Commits • 1 Features
Jun 1, 2025June 2025 — RBVI/ChimeraX delivered a targeted UX enhancement to the crash reporter on Linux, improving user awareness about the need for an email address in crash reports and enabling more complete diagnostic data. The change reduces user confusion and increases submission rates, supporting faster triage and reliability improvements.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered an NVIDIA GPU bfloat16 Prediction Precision Option in ChimeraX, enabling faster predictions with lower memory usage for large structures. Feature is user-facing, integrated into prediction options with conditional availability, and documented with an optional direct GitHub commit install in setup (commit 6ad91358f4a9cf35062cc2963e496563b866ebcc; Ticket #17555). No major bugs fixed this month; focus was on delivering scalable performance improvements and robust UX.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered an NVIDIA GPU bfloat16 Prediction Precision Option in ChimeraX, enabling faster predictions with lower memory usage for large structures. Feature is user-facing, integrated into prediction options with conditional availability, and documented with an optional direct GitHub commit install in setup (commit 6ad91358f4a9cf35062cc2963e496563b866ebcc; Ticket #17555). No major bugs fixed this month; focus was on delivering scalable performance improvements and robust UX.
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for RBVI/ChimeraX focusing on business outcomes and technical achievements. Delivered cross-platform subprocess handling improvements for Boltz with non-GUI readiness, guarded Windows-specific behavior, added synchronization to ensure subprocesses complete in nogui mode. Implemented NVIDIA GPU detection for Linux Boltz predictions via nvidia-smi to improve reliability on GPU-equipped systems. These changes reduce runtime errors, improve performance in headless environments, and enable more consistent predictions across platforms.
3 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for RBVI/ChimeraX focusing on business outcomes and technical achievements. Delivered cross-platform subprocess handling improvements for Boltz with non-GUI readiness, guarded Windows-specific behavior, added synchronization to ensure subprocesses complete in nogui mode. Implemented NVIDIA GPU detection for Linux Boltz predictions via nvidia-smi to improve reliability on GPU-equipped systems. These changes reduce runtime errors, improve performance in headless environments, and enable more consistent predictions across platforms.
April 2025
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Quality Metrics
Correctness91.6%
Maintainability88.4%
Architecture85.2%
Performance83.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentBioinformaticsBug FixBug ReportingCUDA programmingCode RefactoringCommand Line InterfaceCommand Line Interface DevelopmentCross-platform DevelopmentData AnalysisData ParsingData ProcessingFile handlingFull Stack DevelopmentGPU Computing
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