
Ryan Howard developed and maintained advanced liquid handling and hardware testing systems for the Opentrons/opentrons repository, focusing on protocol-driven automation and robust data modeling. He engineered dynamic pipetting APIs, protocol engine enhancements, and CSV-driven configuration for gravimetric and photometric QC, using Python and TypeScript to unify workflows and improve reliability. His work included backend development for hardware integration, calibration, and diagnostics, as well as firmware and driver updates for CAN bus and sensor communication. By refactoring legacy scripts into maintainable protocols and optimizing performance, Ryan enabled higher throughput, safer automation, and more accurate data reporting across complex robotics platforms.

October 2025 (2025-10) performance summary for Opentrons/opentrons. Focused on stabilizing core liquid handling APIs while expanding capabilities to enable more precise and flexible workflows. Key features delivered include: - Dynamic tracking start and end locations for liquid handling (enables aiming at specific points within wells) with API and protocol engine updates. Representative commits: added dynamic tracking start/end locations (#19762) (d659fa73ae3fce0e5b3e73c97521970c655ba05a). - End-location support for aspirate/dispense, allowing the pipette to move to new positions during operation (payload/core logic and interfaces updated; maintains legacy behavior when end location is not provided). Representative commit: add dynamic locations to papi (#19797) (0bdb3d4bc6bc8c3e7531587000c929720b503553). - Z-axis movement delay for viscous liquids to stabilize pressure build-up during aspirate/dispense (movement planner and API updated). Representative commit: add z movement delay arguments to aspirate/dispense (#19855) (8773a2d18c768dcdcc0b13ba577ba8babea8d17f). - Dynamic mixing API (dynamic_mix) enabling complex, repeatable mixing sequences with configurable parameters; includes docs and tests. Representative commit: add dynamic pipetting to mix (#19883) (e598016ee28965d1a9bb19155af692c32f61f76c). - Explicit maximum flow rates for the P200 pipette in shared-data to improve control and predictability (no longer solely hardware-controller-driven). Representative commit: make the flow rates explicit for the p200 (#19838) (1cf5f5ae2ad4f707c31c2653c56b0466baa8cbe9). Major bugs fixed include restoring stability and backward compatibility: absorbance reader movement was reverted to the legacy gripper check to avoid interference from updated checks; p200_96 now correctly identified as a 96-channel pipette; pipette bounding box offsets updated for correct physical positioning (especially with 96-channel adapter); liquid class definitions reverted to stable state after prior changes. Representative commits: fix(api): Fix the absorbance reader lid pickup (#19699) (1e5b28956440dcb645a6bb3e4cf6ea9fc528e58f); fix(api): fix my enum comparison (#19715) (62873183a67c8a4504be4a8dc161da0d27e80476); fix(api): p200_96 now correctly identifies as a 96 channel (#19784) (3a969dfdff8e740db90cc286dd05785ef77a50c8); chore(shared-data): update the pipette bounding boxes (#19814) (b82e66b82592b404a47ec67444b066749616d901); fix(shared-data): revert liquid class changes (#19842) (2cebf92ba78923a6e682bc477afd4797a9484b46). Overall impact and accomplishments: these changes improve accuracy, reliability, and flexibility of automated protocols, reduce fragile edge-cases in complex pipetting workflows, and provide clearer, explicit data-driven controls for instrument behavior. The updated APIs and data models reduce integration risk for protocol developers and enable faster, more predictable protocol development and execution. Technologies demonstrated include API design and migration, protocol engine updates, shared-data modeling, movement planning, tests and documentation, and a strong emphasis on backward compatibility and stability.
October 2025 (2025-10) performance summary for Opentrons/opentrons. Focused on stabilizing core liquid handling APIs while expanding capabilities to enable more precise and flexible workflows. Key features delivered include: - Dynamic tracking start and end locations for liquid handling (enables aiming at specific points within wells) with API and protocol engine updates. Representative commits: added dynamic tracking start/end locations (#19762) (d659fa73ae3fce0e5b3e73c97521970c655ba05a). - End-location support for aspirate/dispense, allowing the pipette to move to new positions during operation (payload/core logic and interfaces updated; maintains legacy behavior when end location is not provided). Representative commit: add dynamic locations to papi (#19797) (0bdb3d4bc6bc8c3e7531587000c929720b503553). - Z-axis movement delay for viscous liquids to stabilize pressure build-up during aspirate/dispense (movement planner and API updated). Representative commit: add z movement delay arguments to aspirate/dispense (#19855) (8773a2d18c768dcdcc0b13ba577ba8babea8d17f). - Dynamic mixing API (dynamic_mix) enabling complex, repeatable mixing sequences with configurable parameters; includes docs and tests. Representative commit: add dynamic pipetting to mix (#19883) (e598016ee28965d1a9bb19155af692c32f61f76c). - Explicit maximum flow rates for the P200 pipette in shared-data to improve control and predictability (no longer solely hardware-controller-driven). Representative commit: make the flow rates explicit for the p200 (#19838) (1cf5f5ae2ad4f707c31c2653c56b0466baa8cbe9). Major bugs fixed include restoring stability and backward compatibility: absorbance reader movement was reverted to the legacy gripper check to avoid interference from updated checks; p200_96 now correctly identified as a 96-channel pipette; pipette bounding box offsets updated for correct physical positioning (especially with 96-channel adapter); liquid class definitions reverted to stable state after prior changes. Representative commits: fix(api): Fix the absorbance reader lid pickup (#19699) (1e5b28956440dcb645a6bb3e4cf6ea9fc528e58f); fix(api): fix my enum comparison (#19715) (62873183a67c8a4504be4a8dc161da0d27e80476); fix(api): p200_96 now correctly identifies as a 96 channel (#19784) (3a969dfdff8e740db90cc286dd05785ef77a50c8); chore(shared-data): update the pipette bounding boxes (#19814) (b82e66b82592b404a47ec67444b066749616d901); fix(shared-data): revert liquid class changes (#19842) (2cebf92ba78923a6e682bc477afd4797a9484b46). Overall impact and accomplishments: these changes improve accuracy, reliability, and flexibility of automated protocols, reduce fragile edge-cases in complex pipetting workflows, and provide clearer, explicit data-driven controls for instrument behavior. The updated APIs and data models reduce integration risk for protocol developers and enable faster, more predictable protocol development and execution. Technologies demonstrated include API design and migration, protocol engine updates, shared-data modeling, movement planning, tests and documentation, and a strong emphasis on backward compatibility and stability.
September 2025 saw end-to-end thermocycler ramp-rate and temperature-control enhancements, gravimetric testing protocol extension, and hardened hardware testing tooling with richer runtime reporting in Opentrons/opentrons. Delivered end-to-end ramp_rate propagation across API, protocol engine, hardware layer, and G-code with updated ramp bounds and a new hardware-testing script to exercise ramp rates. Added a Gravimetric testing extension (single_tip_96) to enable specific Liquid Class testing scenarios, with updates to gravimetric.py and CSV configs. Strengthened hardware testing workflows: runtime parameter dumps to reports from CSVs, updated high-throughput pipette references, enhanced dynamic pipetting tests across labware, and a script suite to validate test configurations. Implemented a motion-speed reference fix to align with published numbers, improving test stability and reliability. Overall, these changes improve reliability, increase test coverage, and enable safer, higher-throughput automated experiments, with measurable business impact through reduced debugging time and clearer validation trails.
September 2025 saw end-to-end thermocycler ramp-rate and temperature-control enhancements, gravimetric testing protocol extension, and hardened hardware testing tooling with richer runtime reporting in Opentrons/opentrons. Delivered end-to-end ramp_rate propagation across API, protocol engine, hardware layer, and G-code with updated ramp bounds and a new hardware-testing script to exercise ramp rates. Added a Gravimetric testing extension (single_tip_96) to enable specific Liquid Class testing scenarios, with updates to gravimetric.py and CSV configs. Strengthened hardware testing workflows: runtime parameter dumps to reports from CSVs, updated high-throughput pipette references, enhanced dynamic pipetting tests across labware, and a script suite to validate test configurations. Implemented a motion-speed reference fix to align with published numbers, improving test stability and reliability. Overall, these changes improve reliability, increase test coverage, and enable safer, higher-throughput automated experiments, with measurable business impact through reduced debugging time and clearer validation trails.
Summary for 2025-08: Delivered a protocol-based refactor of Pipette QC and hardware testing with CSV-driven configuration, gravimetric testing enhancements, improved liquid handling parameter reporting, and expanded diagnostics for factory software. Implemented 8-channel pre-heating and 96-channel testing fixtures, enhanced hardware usage logging readability, and merged pipette diagnostics with factory software for a unified QA workflow. Fixed failing hardware testing tests by updating the default photometric protocol model type from 200 to 1000 to align with edge liquid class information. Business value: higher QA reliability, faster diagnostics, and better data-driven decision-making. Technologies/skills demonstrated: protocol-driven design, data-driven configuration, advanced testing fixtures, logging improvements, and UI library integration.
Summary for 2025-08: Delivered a protocol-based refactor of Pipette QC and hardware testing with CSV-driven configuration, gravimetric testing enhancements, improved liquid handling parameter reporting, and expanded diagnostics for factory software. Implemented 8-channel pre-heating and 96-channel testing fixtures, enhanced hardware usage logging readability, and merged pipette diagnostics with factory software for a unified QA workflow. Fixed failing hardware testing tests by updating the default photometric protocol model type from 200 to 1000 to align with edge liquid class information. Business value: higher QA reliability, faster diagnostics, and better data-driven decision-making. Technologies/skills demonstrated: protocol-driven design, data-driven configuration, advanced testing fixtures, logging improvements, and UI library integration.
June 2025: Delivered major protocol- and performance-oriented upgrades in gravimetric QC and pipetting workflows. Migrated gravimetric QC from script-based to a protocol-driven approach, enabling API access to environmental sensors, unified gravimetric testing flow, and enhanced logging for observability. Achieved faster calibration by removing select gantry speed limits and refining probing strategies, and laid groundwork for per-pipette-type motion tuning across 96-channel systems. Enhanced photometric testing with an air-gap parameter to improve liquid handling accuracy. These changes reduce run times, improve reliability, and provide stronger data-driven QA capabilities, translating to higher throughput and customer-facing stability.
June 2025: Delivered major protocol- and performance-oriented upgrades in gravimetric QC and pipetting workflows. Migrated gravimetric QC from script-based to a protocol-driven approach, enabling API access to environmental sensors, unified gravimetric testing flow, and enhanced logging for observability. Achieved faster calibration by removing select gantry speed limits and refining probing strategies, and laid groundwork for per-pipette-type motion tuning across 96-channel systems. Enhanced photometric testing with an air-gap parameter to improve liquid handling accuracy. These changes reduce run times, improve reliability, and provide stronger data-driven QA capabilities, translating to higher throughput and customer-facing stability.
May 2025 monthly summary for Opentrons/opentrons: Delivered reliability improvements in pipette readiness and modernized the Universal Photometric Protocol by leveraging API v2.23. These changes reduce failure modes, simplify maintenance, and strengthen readiness for API-driven automation and hardware testing workflows.
May 2025 monthly summary for Opentrons/opentrons: Delivered reliability improvements in pipette readiness and modernized the Universal Photometric Protocol by leveraging API v2.23. These changes reduce failure modes, simplify maintenance, and strengthen readiness for API-driven automation and hardware testing workflows.
April 2025 monthly summary for Opentrons/opentrons focusing on key accomplishments, major bug fixes, and business value. Delivered robust liquid handling tracking and measurement, hardware revision support, improved tip presence detection, and QC/testing framework enhancements. Demonstrated strong cross-cutting engineering skills in API correctness, hardware integration, and test automation.
April 2025 monthly summary for Opentrons/opentrons focusing on key accomplishments, major bug fixes, and business value. Delivered robust liquid handling tracking and measurement, hardware revision support, improved tip presence detection, and QC/testing framework enhancements. Demonstrated strong cross-cutting engineering skills in API correctness, hardware integration, and test automation.
March 2025 Monthly Summary for Opentrons/opentrons: Focused delivery of robust hardware testing capabilities, targeted reliability improvements, and telemetry enhancements that directly improve hardware QA, production fixtures, and protocol correctness. The work emphasizes business value through more accurate testing, reduced factory script failures, better error visibility, and persistent state information across reboots.
March 2025 Monthly Summary for Opentrons/opentrons: Focused delivery of robust hardware testing capabilities, targeted reliability improvements, and telemetry enhancements that directly improve hardware QA, production fixtures, and protocol correctness. The work emphasizes business value through more accurate testing, reduced factory script failures, better error visibility, and persistent state information across reboots.
February 2025: Reliability-focused month for Opentrons/opentrons, delivering targeted hardware timing fixes, a new tip-handling capability, and improved sensor auto-detection. These changes reduce operational risk, improve repeatability of automated workflows, and support safer, higher-throughput runs across instrumentation and API surfaces.
February 2025: Reliability-focused month for Opentrons/opentrons, delivering targeted hardware timing fixes, a new tip-handling capability, and improved sensor auto-detection. These changes reduce operational risk, improve repeatability of automated workflows, and support safer, higher-throughput runs across instrumentation and API surfaces.
January 2025 performance summary for Opentrons/opentrons: Delivered critical feature updates for pipette loading and p200_96 support; refactored conical frustum calculations with a lookup-table approach and added unit tests; enhanced CAN bus diagnostics; fixed data alignment for hardware testing to reflect factory settings and ensured liquid height estimation uses the latest data. These workstreams improve product reliability, data integrity, and hardware testing efficiency, enabling faster onboarding of 96-channel pipettes and more robust diagnostics in production.
January 2025 performance summary for Opentrons/opentrons: Delivered critical feature updates for pipette loading and p200_96 support; refactored conical frustum calculations with a lookup-table approach and added unit tests; enhanced CAN bus diagnostics; fixed data alignment for hardware testing to reflect factory settings and ensured liquid height estimation uses the latest data. These workstreams improve product reliability, data integrity, and hardware testing efficiency, enabling faster onboarding of 96-channel pipettes and more robust diagnostics in production.
December 2024 monthly summary for Opentrons/opentrons: hardware compatibility improvements, performance optimizations, and a data-serialization bug fix that together enhance hardware interoperability, throughput, and configuration reliability.
December 2024 monthly summary for Opentrons/opentrons: hardware compatibility improvements, performance optimizations, and a data-serialization bug fix that together enhance hardware interoperability, throughput, and configuration reliability.
November 2024 (2024-11) monthly summary for Opentrons/opentrons. Delivered end-to-end P200 LV 96-channel pipette support across hardware, API, and shared data, including 200µL 96-channel data and production QC tests. Enhanced labware geometry with sub-wells and multi-load-name handling. Added P1KP pipette support via SN mapping and lookup updates. Harmonized emulsify naming to 'em' and added eight-channel support. Introduced Pipette QC option to skip all pressure-related tests, accelerating assembly QC. Fixed critical hardware reliability issues and updated shared hardware extents to reflect the latest specifications, improving throughput, reliability, and data fidelity across the platform.
November 2024 (2024-11) monthly summary for Opentrons/opentrons. Delivered end-to-end P200 LV 96-channel pipette support across hardware, API, and shared data, including 200µL 96-channel data and production QC tests. Enhanced labware geometry with sub-wells and multi-load-name handling. Added P1KP pipette support via SN mapping and lookup updates. Harmonized emulsify naming to 'em' and added eight-channel support. Introduced Pipette QC option to skip all pressure-related tests, accelerating assembly QC. Fixed critical hardware reliability issues and updated shared hardware extents to reflect the latest specifications, improving throughput, reliability, and data fidelity across the platform.
October 2024 monthly summary for Opentrons/opentrons: Delivered Labware Definition Schema v3 with inner labware geometry, enabling precise labware representation and improved automation reliability. Updated shared-data to include schema 3 JSON files with inner geometry (commit 0965fd324f5911da0a250b8456db762fa2b53b92); this work lays groundwork for support of complex labware and future features. No critical bugs fixed this month; focus was on data/schema evolution and preparing downstream tooling.
October 2024 monthly summary for Opentrons/opentrons: Delivered Labware Definition Schema v3 with inner labware geometry, enabling precise labware representation and improved automation reliability. Updated shared-data to include schema 3 JSON files with inner geometry (commit 0965fd324f5911da0a250b8456db762fa2b53b92); this work lays groundwork for support of complex labware and future features. No critical bugs fixed this month; focus was on data/schema evolution and preparing downstream tooling.
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