Summary
Hongjing Xia is a data-driven co-founder and PhD-trained bioengineer with 10+ years of experience building scalable machine learning systems for high-dimensional, multimodal data. She has led teams and shipped production analytics—most notably designing a parallelizable customer-segmentation pipeline that increased captured fraud dollars by 40% and novel manifold-based unsupervised methods for heterogeneous datasets. Her background spans academic research at UCLA, a high-impact ML internship at Amazon, and investment-focused analytics roles at Point72, combining statistical rigor with product-minded deployment on AWS and distributed clusters. Comfortable in Python and MATLAB and experienced with multiprocessing, she excels at turning ambiguous, million-row problems into experimentally validated models and practical decision tools. An uncommon strength is her blend of theoretical model development (manifold learning, mutual-information clustering) with hands-on engineering to scale those methods into real-world systems.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.), Depts. of Electronic Science and Engineering, Bachelor of Science (B.S.), Depts. of Electronic Science and Engineering at Nanjing University
The University of Hong Kong (HKU)
Doctor of Philosophy (PhD), Bioengineering and Biomedical Engineering, Doctor of Philosophy (PhD), Bioengineering and Biomedical Engineering at University of California, Los Angeles
English, Chinese