Victoria Liu

I built web platforms that streamlined portfolio management by enhancing trade execution, optimizing decision-making workflows, and transforming complex market data into actionable insights, empowering portfolio managers to navigate financial markets with greater efficiency and confidence.

Build, style, and ship—crafted dynamic interfaces that seamlessly integrated machine learning for document processing, playing a key role in securing $17 million in Series A funding. By automating workflows, enhancing UI/UX for data visualization, and reducing manual effort with NLP-driven classification, these innovations transformed efficiency and decision-making.

Led a team of 80+ research assistants to develop a Python-based classification pipeline for clinical data, contributing to a publication in NPJ Digital Medicine (Nature). Designed ML algorithms for Parkinson's disease classification using video data, and processed 600+ hours of data while reducing processing time by 80% through PCA and machine learning techniques, ensuring full IRB compliance.