Amber Shen

About Amber Shen

It is the era of AI! Machine Learning and Artificial Intelligence have revolutionized…

Experience

1. Scientist

   Vivoverse

   Oct 2021 — Present · Austin, TX, US

   Image Analysis & Machine Learning Integration:*Utilized Python-based image processing tools such as Matplotlib, Image, Pillow, and OpenCV to analyze experimental images.*Collected and pre-processed image and data sets for machine learning models from laboratoryexperiments.*Developed vivoSegmenter, a custom warehouse image segmentation tool, by integrating multiple image segmentation technologies (Label Studio, Segmenter) to enhance segmentation accuracy.*Trained, validated, and tested multiple machine learning models, including Mask-RCNN, DenseNet, Unet, RasNet, and Transformer models to identify the best-performing model for image segmentation tasks.*Explored data augmentation techniques and hyperparameters tuning to optimize model performance.Model Application & Automation:*Deployed trained models to automate object detection and measurement (length, area, volume) fromsegmented images.*Developed model inference pipelines and integrated them into AI-powered automated imaging systems.Training & Mentorship:*Recruited and trained interns and team members in segmentation techniques, software usage, and lab protocols.*Conducted reviews and quality control of segmentations done by different users to ensure consistency and accuracy.