Casey Pham
About Casey Pham
Casey Pham Automation Engineer
Casey Pham is an experienced Automation Engineer with a demonstrated history in the pharmaceutical and biotechnology industries. Pham specializes in managing and optimizing complex automated systems for drug development and research purposes. Currently, Pham is responsible for overseeing the automated drug transcriptomic screening platform at Arpeggio, ensuring high-throughput and accurate data collection to support innovative research projects.
Casey Pham Education and Expertise
Casey Pham earned a Bachelor of Science in Biochemistry & Biophysics from Rensselaer Polytechnic Institute (RPI). This strong educational background has provided a comprehensive understanding of the biochemical and biophysical principles that underpin automated drug screening technologies. Pham possesses specialized expertise in automation engineering, with specific skills in drug transcriptomic screening, high-throughput data analysis, and system optimization.
Casey Pham Professional Background
Casey Pham has accumulated extensive experience working with leading organizations in the pharmaceutical and biotechnology sectors. Pham's career includes positions at AmeriDrug Labs, Pfizer Oncology, and Hamilton Robotics. At AmeriDrug Labs, Pham contributed to the development and implementation of automated systems for lab tasks. At Pfizer Oncology, Pham focused on integrating automation to enhance oncology research. At Hamilton Robotics, Pham worked on the advancement of robotic systems for laboratory applications, contributing to innovations in automated solutions.
Casey Pham Responsibilities at Arpeggio
In the current role at Arpeggio, Casey Pham manages the automated drug transcriptomic screening platform. This platform supports high-throughput screening processes, enabling the efficient analysis of large data sets to identify potential therapeutic candidates quickly and accurately. Pham's work involves maintaining the operational efficiency of the platform, troubleshooting technical issues, and ensuring the integration of new technologies to enhance research capabilities.