Summary
Florence Wong is a PhD-trained business analytics and applied ML leader with 10+ years of experience blending academic rigor and startup hustle to turn graph-powered research into industry-grade tools. As CSO and Co-Founder of a UAE-based startup and Scientific Lead, she builds explainable GNN toolkits (HyperGNN) and self-tuning ML pipelines for predictive business process monitoring, with prototypes under review at top-tier journals. Her work spans leading open-source releases—Hyper-GCN, Hyper-LSTM, and a time-aware explainable GAT pipeline—and publishing multiple Q1 PBPM papers while deploying models in consulting engagements across space and education. Earlier she co-founded an AI startup in Silicon Valley, raised over $500k, and grew a 9,000+ member global AI community, pairing product strategy with technical content creation. Florence’s background in media and entrepreneurship (including a 10k NFT project and a viral Kaggle-winning malware solution) gives her rare fluency in storytelling, scalable systems, and interdisciplinary ML applications. She is actively seeking collaborations with researchers, founders, and applied ML teams building real-world, explainable AI systems.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Arts, TV Host and Performance, Bachelor of Arts, TV Host and Performance at Communication University of China
Doctor of Philosophy, Business Analytics, Doctor of Philosophy, Business Analytics at Rensselaer Polytechnic Institute
English, Chinese