About Me
Hi, I’m a Data Scientist & Engineer at BlackRock, the world’s largest asset manager. I work on Aladdin Data — the data platform behind Aladdin, BlackRock’s investment and risk platform — building the engineering layer of data governance: certification automation, compliance pipelines, and AI-grounded agent tooling, alongside ML solutions for enterprise-scale financial data.
My background combines published research with hands-on engineering. I apply computational methods — NLP, embedding models, predictive modeling — to social and economic questions, and bring research rigor to production systems: governance certification automation, Python frameworks that reduce manual oversight, and ML-driven data quality improvements.
Focus Areas
- Governance Engineering & Automation: Building the tooling behind enterprise data governance — certification automation, compliance pipelines, and AI-grounded agent skills.
- Computational Social Science & Applied ML: NLP, embedding models, and predictive modeling applied to social and economic questions — peer-reviewed research on moral framing, credit access, and housing disparities.
- Data Tokenization (US Patent Pending): Co-inventor on a blockchain-based approach to tokenizing data access entitlements for enterprise data governance.
Selected Projects
- Bond-Risk-Analyzer — Decision-tree insights and nearest-neighbor proxy identification to streamline risk analysis for financial datasets.
- Embedding-Models-for-AI-Retrieval — Domain-specific embedding model for AI-powered document retrieval: synthetic data generation, fine-tuning, FAISS vector search, evaluated with MRR@5.
- PRI-Insights-Chatbot — ML and LLM-powered question-answering and insight generation for enhanced data interaction.
Selected Publications
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Huacen Xu, C.J. Dawkins, M. Travis P., M. Chowdhury - Under Review, 2026
Predictive modeling of how student loan debt shapes racial disparities in homeownership — quantitative methods applied to a structural economic question.
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S. Qian, Y. Lu, Y. Peng, C.C. Shen, Huacen Xu - Public Relations Review, 2024
Unsupervised image clustering identified five categories of climate visuals and platform-specific engagement patterns — ML-driven visual content analysis at scale.
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Huacen Xu - Inclusive Finance in China (Palgrave Macmillan), 2021
Field investigation of how microfinance institutions balance social and commercial objectives.
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Huacen Xu, H.J. Zhan, C.E.E. James, L.D. Fannin, Y. Yin - International Journal of Gender and Entrepreneurship, 2018
Predictive modeling of gender disparities in loan access — how perceived rejection likelihood suppresses applications.
Full publication list on Google Scholar. Code and projects on GitHub.
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