Recently, the global winners of the 2026 Noble Technology Awards have been officially announced. Young data scientist Zice Gao has been awarded the Silver Award for Outstanding Technical Expertise – Outstanding Data Scientist for his outstanding contributions in the fields of financial big data, artificial intelligence and data science, becoming a key international talent supporting technological innovation and fintech upgrading in the United States.
Organized by International Awards Associate (IAA Global), a renowned international awards body, the Noble Technology Awards is a highly authoritative and influential global technology accolade. It honors individuals and organizations with exceptional performance in technological innovation, professional competence, industry transformation and global impact. This year’s competition attracted participants from over 100 countries worldwide, and the judging panel is composed of senior technology executives, top engineers, leading scholars and digital transformation experts. Winners are selected according to stringent criteria for both technological excellence and practical application value. Gao ’s award fully reflects high recognition of his professional capabilities from the international academic and industrial communities.
Gao holds a master’s degree in Business Artificial Intelligence from the University of Rochester in the United States, focusing his research on business artificial intelligence and the application of financial big data. He earned his bachelor’s degree in Accounting from Shanghai University of Finance and Economics, with a minor in Economic Statistics, combining solid financial and business expertise with systematic data science literacy. With deep experience in financial risk control, user behavior analysis, machine learning modeling and big data engineering, he has achieved fruitful results in academic research, industrial practice and technological innovation, building a cross-disciplinary core competitiveness integrating “AI + Big Data + Finance”.
He has built rich practical experience within leading global financial institutions and technology companies. Serving as a Data Scientist for the HELOC business of a renowned U.S. financial group, he led the development of intelligent risk control systems and user behavior analysis models. Through analysis of 10,459 credit datasets, he established a holistic credit risk prediction framework and customized risk assessment system for personalized loan allocation. By implementing MLP and GAM models with Bayesian hyperparameter optimization, he achieved 97.5% accuracy in high-risk borrower detection, cutting bad loan rates by 20% and boosting institutional customer segmentation efficiency. He additionally developed an interactive Streamlit web tool to support real-time loan risk evaluation, automated risk factor analysis and targeted mitigation advice, alongside a missing-feature penalty mechanism that safeguards stable, robust model performance amid incomplete data inputs.
In terms of academic research and intellectual property, Gao has published 4 peer-reviewed papers in the fields of AI and big data. He also independently developed the Intelligent Big Data Statistical Insight Analysis System, a copyrighted software tool that tackles universal industry challenges of lengthy big data analysis workflows, difficult multi-source data convergence, insufficient model deployment speed, and high business application barriers. Integrating automated feature engineering, distributed computing frameworks and visual interactive interfaces, the system supports full-stack end-to-end data modeling, real-time analysis and lightweight rapid deployment, which greatly improves overall enterprise data application efficiency and lowers computational costs.
Against the backdrop of broad big data adoption across the U.S. financial industry, traditional analytical tools fail to overcome inherent operational bottlenecks while coping with frequent missing data risks in financial risk assessment scenarios, limiting institutional digital upgrading and risk management performance. Supported by dual Chinese and U.S. copyright certifications, Gao’s proprietary technical system provides a robust, scalable solution adapted to U.S. industrial demands. Its embedded information-missing penalty mechanism, real-time risk visualization capability and automatic decision support functions precisely target sector-specific pain points in American financial data analysis. The tool has already realized commercial industrial application at 5 Chinese enterprises, forming mature technological achievement industrialization experience and solid groundwork for its future implementation in the U.S. financial market.
This award is an authoritative recognition of Zice Gao’s contribution to empowering the U.S. technology and financial industries. He stated that this honor serves as motivation. Going forward, he will continue to focus on intelligent risk control, precision marketing and other fields, and continuously advance fintech upgrading and digital economy development through artificial intelligence and big data technologies.
(Written by Jessie Epstein)
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