Opentrons/opentrons
Dec 2024 – Jul 2025
6 Months active
Languages Used
Python
Technical Skills
API IntegrationConfiguration ManagementData ManagementFirmware InteractionHardware TestingLiquid Handling
Andy Sigler
PROFILE
Andy Sigler
Andrew Sigler developed and refined automated liquid handling and hardware testing features for the Opentrons/opentrons repository, focusing on accuracy, reliability, and throughput in laboratory automation. He implemented robust Python-based data models and validation tests to improve liquid property definitions, pipetting accuracy, and protocol stability, addressing edge cases in volume estimation and meniscus detection. His work included backend development, API integration, and hardware control, with targeted bug fixes and parameter tuning for multi-channel pipettes and various liquid classes. By expanding test coverage and optimizing protocol performance, Andrew delivered well-validated, maintainable solutions that reduced experimental errors and improved automated workflow reliability.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
16Total
Bugs
3
Commits
16
Features
7
Lines of code
17,360
Activity Months6
Your Network
26 people
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for Opentrons/opentrons focusing on feature delivery and bug fixes related to liquid handling validation. Delivered a targeted testing extension and a critical bug fix that enhances reliability and accuracy of automated liquid handling.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for Opentrons/opentrons focusing on feature delivery and bug fixes related to liquid handling validation. Delivered a targeted testing extension and a critical bug fix that enhances reliability and accuracy of automated liquid handling.
July 2025
June 2025
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for Opentrons/opentrons: Delivered targeted liquid-handling improvements focused on accuracy, stability, and throughput. Key contributions across three areas: (1) Liquid-Class parameter tuning for CV and %D (water-ethanol) across 1-channel and 8-channel configurations to improve accuracy of simulations; (2) Z-axis noise fix for glycerol protocol on 96-channel pipette to improve stability during submerge/retract; (3) Optimized ethanol-80 dispense flow rates and reduced delays to boost speed and responsiveness. These changes reduce run times, increase protocol reliability, and support scalable high-throughput experiments.
June 2025
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for Opentrons/opentrons: Delivered targeted liquid-handling improvements focused on accuracy, stability, and throughput. Key contributions across three areas: (1) Liquid-Class parameter tuning for CV and %D (water-ethanol) across 1-channel and 8-channel configurations to improve accuracy of simulations; (2) Z-axis noise fix for glycerol protocol on 96-channel pipette to improve stability during submerge/retract; (3) Optimized ethanol-80 dispense flow rates and reduced delays to boost speed and responsiveness. These changes reduce run times, increase protocol reliability, and support scalable high-throughput experiments.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025: Key reliability and API usability enhancements in the Opentrons core. Fixed an edge-case in liquid height calculation for 0 µL that previously raised an error, now returning 0 mm and covered by a regression test. Improved labware.meniscus API usability by defaulting the target to 'end', aligning with other Well methods and reducing API friction for protocol authors. These changes improve automation reliability and developer productivity across the Opentrons platform.
2 Commits • 1 Features
Apr 1, 2025April 2025: Key reliability and API usability enhancements in the Opentrons core. Fixed an edge-case in liquid height calculation for 0 µL that previously raised an error, now returning 0 mm and covered by a regression test. Improved labware.meniscus API usability by defaulting the target to 'end', aligning with other Well methods and reducing API friction for protocol authors. These changes improve automation reliability and developer productivity across the Opentrons platform.
April 2025
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for Opentrons/opentrons focused on advancing data modeling for liquids and stabilizing edge-case volume calculations to improve reliability and lab accuracy.
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for Opentrons/opentrons focused on advancing data modeling for liquids and stabilizing edge-case volume calculations to improve reliability and lab accuracy.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025: Opentrons/opentrons delivered key pipetting improvements and QC tooling simplification to boost accuracy, reliability, and throughput. Implemented API support for negative correction volumes, enabled meniscus-based pipette positioning, and standardized QC tooling using API defaults for liquid probe settings. The changes are backed by focused testing scripts and Liquid-Classes updates, reducing protocol failures and enabling smoother hardware integration.
3 Commits • 1 Features
Feb 1, 2025February 2025: Opentrons/opentrons delivered key pipetting improvements and QC tooling simplification to boost accuracy, reliability, and throughput. Implemented API support for negative correction volumes, enabled meniscus-based pipette positioning, and standardized QC tooling using API defaults for liquid probe settings. The changes are backed by focused testing scripts and Liquid-Classes updates, reducing protocol failures and enabling smoother hardware integration.
February 2025
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for Opentrons/opentrons: Delivered hardware testing and liquid handling improvements that extend automated testing coverage and enhance measurement accuracy. Implemented automated plunger drift/overshoot testing for 96-channel pipettes, established new liquid-height and inner-well geometry testing protocols to improve liquid level detection, and added liquid definitions for Ethanol-80 and Glycerol-50. While no explicit bug-fix commits were listed for this period, the changes reduce risk in hardware workflows and provide more robust data quality for automated liquid handling.
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for Opentrons/opentrons: Delivered hardware testing and liquid handling improvements that extend automated testing coverage and enhance measurement accuracy. Implemented automated plunger drift/overshoot testing for 96-channel pipettes, established new liquid-height and inner-well geometry testing protocols to improve liquid level detection, and added liquid definitions for Ethanol-80 and Glycerol-50. While no explicit bug-fix commits were listed for this period, the changes reduce risk in hardware workflows and provide more robust data quality for automated liquid handling.
Activity
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Quality Metrics
Correctness88.2%
Maintainability87.6%
Architecture81.2%
Performance80.0%
AI Usage21.2%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentConfiguration ManagementData EngineeringData ManagementData ModelingData ValidationError HandlingFirmware InteractionGeometry CalculationsHardware ControlHardware TestingLiquid HandlingProtocol Development
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