Rutao Luo

Background

About Me

I am an AI and data leader with 10+ years of experience building modern investment data, analytics, and decisioning platforms in financial services. My work spans asset management at Vanguard and regulated enterprise AI at Domyn, where I have led initiatives across fixed income analytics, investment operations, cloud modernization, semantic data architecture, and LLM-powered systems.

I specialize in connecting business strategy with scalable technical execution — translating complex investment and data challenges into governed platforms, AI-ready architectures, and high-impact products. My experience includes modernizing legacy analytics environments, integrating structured and unstructured data, building semantic and metadata frameworks, and delivering AI/ML solutions such as agentic systems, Text-to-SQL, and personalization capabilities.

With more than 9 years at Vanguard, I bring deep knowledge of investment data, governance, and investor-focused use cases, along with a proven ability to align senior stakeholders, mentor teams, and drive practical innovation in highly regulated environments. In addition to my industry work, I have authored over a dozen research papers with more than 300 citations, reflecting a strong foundation in analytical rigor, innovation, and applied problem solving.

Career Timeline

Professional Experience

We deliver end-to-end vertical AI solutions for highly regulated industries, including foundation models, agentic AI systems, and enterprise-grade AI governance.

Architected an enterprise semantic data layer for regulated financial datasets, enabling governed access across complex schemas and improving interoperability across data domains.
Designed ontology and metadata frameworks to automate data discovery, strengthen lineage visibility, and support consistent Data-as-a-Product standards.
Digital Transformation: Leading end-to-end vertical AI solutions for regulated enterprises, building semantic-layered data models, knowledge graphs, and agentic AI workflows with robust, auditable governance.
Structured Data Agent: Architecting an LLM-driven agent that converts natural-language questions into validated SQL operations, ensuring reliable, non-hallucinatory answers grounded in enterprise datasets.
Unstructured Data Agent: Building a hybrid LLM + Knowledge Graph reasoning system to retrieve and interpret free-form documents using semantic search and contextual understanding.

LLMKnowledge GraphsAgentic AIData Architecture

What I work with

Technical Skills

Investment Systems & Data

Market Data Indexing (CRSP)Fixed-Income ModelingRisk MitigationBlockchain-based Data Integrity

Digital Transformation & Architecture

Vertical AI SolutionsTarget-State ArchitectureGovernance ControlsEnterprise Data Integration

AI & Data Engineering

GenAI/LLMAgentic AIRAGRLHFKnowledge GraphsRecommendation SystemsBayesian EstimationMLOps

Big Data & Cloud

AWSSparkHadoopMapReduce

Programming Languages

PythonRSQLMATLABSAS

Academic background

Education & Certifications

Degrees

Master of Science in Electrical Engineering

University of Delaware

Master of Science in Applied Mathematics

University of Delaware

Bachelor of Science in Control Engineering

Beijing University of Chemical Technology

Certifications

AWS Machine Learning Specialty Certification

Amazon Web Services

SAS Certified Base Programmer for SAS 9

SAS Institute

SAS Certified Advanced Programmer for SAS 9

SAS Institute

Actuarial Science: Pass of Exams P, FM

Society of Actuaries

Academic contributions

Selected Publications

311

Citations

64 since 2021

9

h-index

5 since 2021

8

i10-index

2 since 2021

Spatial modeling of HIV cryptic viremia and 2-LTR formation during raltegravir intensification

Journal of Theoretical Biology, Vol. 345, pp. 61-69E. Fabian Cardozo, Rutao Luo, Michael J. Piovoso and Ryan Zurakowski2014

Modelling HIV-1 2-LTR dynamics following raltegravir intensification

Journal of the Royal Society – Interface, Vol. 10, No. 84, pp. 20131086Rutao Luo, E. Fabian Cardozo, Michael J. Piovoso, Hulin Wu, Maria J. Buzon, Javier Martinez-Picado and Ryan Zurakowski2013

Modeling Uncertainty in Single-Copy Assays for HIV

Journal of Clinical Microbiology, 50(10):3382-3383Rutao Luo, Michael J. Piovoso and Ryan Zurakowski2012

HIV Model Parameter Estimates from Interruption Trial Data Including Drug Efficacy and Reservoir Dynamics

PLoS ONE 7(7): e40198Rutao Luo, Michael J. Piovoso, Javier Martinez-Picado and Ryan Zurakowski2012

Optimal antiviral switching to minimize resistance risk in HIV therapy

PLoS ONE 6(11): e27047Rutao Luo, Michael J. Piovoso, Javier Martinez-Picado and Ryan Zurakowski2011

Controlling the Evolution of Resistance

Journal of Process Control, Vol. 21, No. 3, pp. 367-378Rutao Luo, LaMont Cannon, Jason Hernandez, Michael J. Piovoso and Ryan Zurakowski2011

Quantitative analysis of viral persistence and transient viral load rebound from HIV clinical data

33rd International Conference of the IEEE EMBS, pp. 3585-3588Rutao Luo, Michael J. Piovoso and Ryan Zurakowski2011

Modeling-error robustness of a viral-load preconditioning strategy for HIV treatment switching

Proc. American Control Conference, Baltimore, MD, pp. 5155-5160Rutao Luo, Michael J. Piovoso and Ryan Zurakowski2010

A Generalized Multi-strain Model of HIV Evolution with Implications for Drug-resistance Management

Proc. American Control Conference, St. Louis MO, pp. 2295-2300Rutao Luo, Michael Piovoso and Ryan Zurakowski2009

Resistance risk management in HIV therapy switching with explicit quiescent T-cell modeling

Proc. 17th IFAC World Congress, Seoul, Korea, pp. 10325-10330Ryan Zurakowski and Rutao Luo2008

A new strategy to decrease risk of resistance emerging during therapy switching in HIV treatment

Proc. American Control Conference, Seattle, WA, pp. 2112-2117Rutao Luo and Ryan Zurakowski2008

An adaptive feedback neural network approach to job-shop scheduling problem

Proc. IEEE IJCNN, pp. 3949-3954W. Zhang and R. Luo2008

Lesion detection using Gabor-based saliency field mapping

Proc. SPIE, Vol. 6512, 65123EMarc Macenko, Rutao Luo, Mehmet Celenk, Limin Ma and Qiang Zhou2007

Outside the office

Beyond Work

I find genuine satisfaction in mentoring — taking something complex and making it click for someone else. Outside of meetings and models, that often looks like a robotics kit on the kitchen table with my kids, which is as good a test of patience and creativity as any professional challenge.

I stay curious through reading — finance, AI, and the occasional deep dive into how large systems break and recover. Travel and photography round out the picture: both are good reminders that the most interesting things are usually hiding in plain sight.

Get in touch

Let's Connect

Whether you're looking to collaborate on AI/ML projects, discuss financial technology, or just say hello — I'd love to hear from you.

rutaoluo@gmail.com (507) 250-2213 LinkedIn Download Resume