Rami Farawi

Applications Engineer @ Opentrons

About Rami Farawi

Rami Farawi is an Applications Engineer at Opentrons Labworks Inc., where he develops custom Python scripts for laboratory automation. He holds a Bachelor's degree in Chemical Engineering from the University of Michigan and a Master's degree in Creative Writing from Goldsmiths, University of London.

Work at Opentrons

Rami Farawi has been employed at Opentrons Labworks Inc. as an Applications Engineer since 2021. In this role, he collaborates with lab biologists worldwide to develop custom Python scripts for the OT-2 liquid handling robot. His work focuses on optimizing workflows and throughput for laboratory automation processes, contributing to the efficiency and effectiveness of laboratory operations.

Education and Expertise

Rami Farawi holds a Master of Arts in Creative Writing from Goldsmiths, University of London, which he completed from 2019 to 2020. He also earned a Bachelor's degree in Chemical Engineering from the University of Michigan, where he studied from 2014 to 2019. His educational background combines technical knowledge in engineering with skills in creative communication, enhancing his ability to address complex problems in engineering projects.

Background

Rami Farawi has a diverse professional background that includes experience as a Co-op at Dow in Hahnville, Louisiana, for eight months in 2018, and another Co-op position at Dow in the Houston, Texas area for three months in 2017. Additionally, he worked as a Research Assistant at the University of Michigan for three months in 2016. This varied experience has equipped him with practical skills in both engineering and research environments.

Collaborative Projects

In his current role at Opentrons, Rami Farawi collaborates with lab biologists globally to create custom Python scripts that enhance the functionality of the OT-2 liquid handling robot. His focus on optimizing workflows and throughput in laboratory automation processes demonstrates his commitment to improving operational efficiency in scientific research.

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