Fluidics And Software Engineering Intern
Cambridge, Massachusetts, United States
With team, built image/video processing pipelines and automated fluidic systems to quantify flow profiles through enclosed cell growth chambers. Extensive algorithm development and use of Python for instrument control, accurate data collection, large-scale data processing, and display. Integrated imaging system with automated pipetting setup to rapidly collect and process data. Worked on memory and processing speed optimization, cloud storage solutions, and data structure optimization in Python.