Bronte Sihan Li

Master of Science in Computer Science

Bachelor of Science in Medical Laboratory Science

AI Software Engineer, Audere

• Design and build multi-LLM integration and evaluation framework for digital health solutions, e.g. Your Choice for BMGF Grand Challenges
• Build and maintain data-centric AI production and annotation pipelines supporting image data collection with over 20,000 images collected and processed per month
• Own AI data production and annotation programs with business partners: manage subcontract teams and ensure data quality and delivery
• Mentored software engineer interns in Python and AI development, resulting in 2 successful project deployments

Research Scholar, DREAM program, Computing Research Association

• Perform independent research on wildfire spread prediction using vision transformers
• Extract and compile remote sensing data using GEE resulting in a large scale wildfire dataset with 30,000+ samples
• Train and optimize SOTA semantic segmentation neural networks including Swin, RevCol and FocalNet
• Design and implement novel Attention Swin U-net with Focal Modulation (ASUFM) that achieves SOTA on the NDWS dataset

Software Engineer Intern, Audere

• Revamped batch testing tools for computer vision models, streamlining product demos and centralizing data storage and analysis

Senior Medical Laboratory Scientist, Seattle Children's

• Co-designed, built and maintained Next-generation sequencing data analysis pipeline in Python resulting in over 80% cost savings
• Improved laboratory database to support digitization of workflow
• Designed and co-developed Tableau dashboard for testing performance metrics monitoring

Clinical Laboratory Scientist, Seattle Children's

• Co-validated and deployed a COVID-19 PCR testing protocol across the hospital
• Launched an SDI program to foster continuous improvement, resulting in a 30% surge in actionable ideas
• Collaboratively engineered an ergonomic PCR plate capping tool, reducing manual strain and accelerating processes by 40%