Jacqueline Garrahan
CV
Aiera
Senior Machine Learning Engineer
April 2023 - Present
SLAC National Accelerator Laboratory
Software Engineer II, Machine Learning Engineer
August 2021 - October 2022
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Designed an online machine-learning system for particle accelerator control systems.
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Managed CI and deployment workflows for experimental python environments in air-gapped network.
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Automated testing for machine learning research group applications.
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Built web applications for live machine monitoring and online model execution.
Software Engineer I, Advanced Controls Systems
April 2020 - August 2021
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Designed the Next Alarm System (NALMS) for use with particle accelerator control systems running EPICS.
Aiera
Lead Data Scientist/Machine Learning Engineer
December 2018 - April 2020
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Maintained company natural language processing infrastructure including data preprocessing, entity tagging, and sentiment scoring workflows for the company document repository.
Vertex Pharmaceuticals
Clinical Trial Blockchain Intern
May 2018 - Aug 2018
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Developed proof-of-concept application for the transfer of clinical trial documents using Quorum, JP Morgan's Ethereum fork.
Healthcare Systems Engineering Institute at Northeastern University
Graduate Research Assistant
August 2017 - September 2018
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Modeled the opioid epidemic using epidemiology.
Staff Engineer
September 2016 - August 2017
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Worked on NSF EAGER grant (awarded, $250,000) for studying the opioid epidemic using simulation and numerical methods.
AddiLat Inc.
Semiconductor Characterization Intern
September 2016 - December 2016
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Managed experiments in characterizing the electrical properties of nanoparticle-printed films.
Publications & Presentations
Zhang, Z., Edelen, A. L., Garrahan, J. R., Hidaka, Y., Mayes, C. E., Miskovich, S. A., ... & Wang, G. M. (2022). Badger: The Missing Optimizer in ACR (No. TUPOST058). SLAC National Accelerator Lab., Menlo Park, CA (United States).
Garrahan, J. Mayes, C. Slepicka, H. Edelen, A. & Gupta, L. (2021). The LUME-EPICS Python package for supporting simulations over CA and PVA. Spring 2021 EPICS Collaboration Meeting.
C.E. Mayes, P.H. Fuoss, J.R. Garrahan, H. Slepicka, A. Halavanau, J. Krzywinski et al., Lightsource unified modeling environment (lume), a start-to-end simulation ecosystem, in Proceedings of IPAC, Campinas, SP, Brazil, 24–28 May 2021, THPAB217.
J. Benneyan, J. Garrahan, I. Ilieş and X. Duan, "Modeling approaches, challenges, and preliminary results for the opioid and heroin co-epidemic crisis," 2017 Winter Simulation Conference (WSC), 2017, pp. 2821-2832, doi: 10.1109/WSC.2017.8248006.
J. Garrahan, I. Ilieş and J. Benneyan, "Preliminary Integrated Approach to Modeling the Prescription and Illicit Opioid Epidemic," 2017 IINFORMS Annual Meeting, 2017.