Michelle L. Wu
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Michelle L. Wu · Engineer & founder

Research-minded.
Production-ready.

I build at the intersection of quantitative research, AI, and reliable software. From biomedical imaging to real-time portfolio optimization, I turn complex models into systems people can use.

Explore my work View CV

Mathematical depth. Practical engineering. End-to-end ownership.

Michelle L. Wu
Michelle L. Wu 吴佳盈Building across disciplines
Applied mathematicsQuantum & AIQuantitative systemsSecure infrastructure
The 30-second overview A little context, at a glance
Now
Founding engineer and CEO at NEXQ, building across quantum ML, biomedical imaging, and secure systems.
Focus
Turning research into reliable software, including real-time portfolio optimization and data-driven decision systems.
Perspective
Applied mathematics, hands-on research, and end-to-end engineering ownership—alongside a teaching journey that began at age seven.
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01 / Selected work

Complex problems.
Considered solutions.

A selection of research and engineering work across healthcare, markets, and intelligent systems.

NEXQ

From scientific models to usable systems.

Quantum machine learning, biomedical imaging, and secure infrastructure built with research-to-production translation in mind.

  • Quantum ML
  • Secure APIs
  • HPC
Read project context

Founding Engineer & CEO
2024 — Present

  • Designed the core architecture across quantum ML, high-performance computing, cloud infrastructure, and secure APIs.
  • Led QNN-based tumor segmentation and financial simulation development, integrating post-quantum cryptographic primitives.
  • Built encrypted MVPs to validate oncology and analytics workflows, with ownership of correctness, performance, and failure modes.

Research and engineering work; not a claim of clinical validation or regulatory approval.

Explore NEXQ

Quantitative systems

Better decisions in changing markets.

Portfolio allocation and gas-efficient routing research, alongside on-chain anomaly detection work in a CMU Tepper-sponsored Ripple collaboration.

  • Optimization
  • Depeg risk
  • Backtesting
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Lead Depeg Engineer / Lead Software Architect
Ripple collaboration · Jan — Mar 2026

  • Presented a framework for portfolio allocation and gas-efficient routing in decentralized markets at the 2025 Southern California Applied Math Symposium.
  • Worked on pre-depeg on-chain anomaly detection with LuxLeaf AI's amaRQ in the Ripple collaboration.
  • Owned secure backend and API architecture, emphasizing reliability, scalability, and maintainability.

The Ripple product is confidential and described as to-be-launched in the CV. Product internals and partner pipelines are not disclosed.

View experience

LuxLeaf AI

Intelligence with an operational purpose.

AURIX-AI decision optimization and ML infrastructure connecting telemetry, experimentation, and production delivery.

  • Python
  • Vector search
  • MLOps
Read project context

Founding Protocol Engineer / DeFi
Protocol engineering · Aug 2025 — Jan 2026

  • Designed AURIX-AI to combine telemetry ingestion, uplift modeling, and profit-aware policy selection.
  • Built distributed FAISS and Weaviate search over 20+ TB of unstructured data with sub-second query latency, as reported in the CV.
  • Delivered RAG and LoRA/PEFT workflows, secure backend services, and repeatable cloud deployments.

Descriptions summarize public CV information; protected client work remains private.

Explore the workspace

Selected work is summarized from my CV. Confidential products, client implementations, and proprietary pipelines stay private.

02 / The connective thread

Depth in the research.
Care in the execution.

My work starts with a question: how do we turn a promising idea into something dependable?

My background spans applied mathematics, computational oncology, quantum software, and cloud-native engineering. At NEXQ, I bring those disciplines together as a founding engineer and CEO.

Earlier work in biosensing, nanofabrication, and positron research taught me to care about what happens beyond the model. That same perspective shapes how I build, test, and deliver software today.

Find me on GitHub
01

Quantitative engineering

Constrained optimization, real-time portfolio systems, backtesting, and risk-aware decision infrastructure.

02

Research into software

Quantum algorithms, biomedical imaging, and mathematical models translated into testable computational tools.

03

Production ownership

Secure APIs, distributed systems, cloud infrastructure, and the release discipline that makes research useful.

03 / Experience

A path across
disciplines.

The full story

NEXQ Inc.

Founding Engineer & Chief Executive Officer

September 2024 - Present

Ripple Labs

Lead Depeg Engineer / Lead Software Architect

CMU Tepper-sponsored collaboration

January 2026 - March 2026

LuxLeaf AI

Founding Protocol Engineer / DeFi

August 2016 - January 2026

MIT Beaver Works Summer Institute

Quantum Software & Development Instructor & Lead Instructor

May 2024 - January 2026

City of Hope - Beckman Cancer Research Institute

Computational and Quantitative Medicine Research Assistant

April 2024 - April 2025

04 / Academic foundations

Always a student.

August 2025 - May 2026

University of Southern California

Master of Science in Biomedical Engineering

Merit-based admission from the 2025 PhD pool. Offered dual acceptance in Biomedical Data Analytics and Biomedical Engineering.

August 2024 - May 2026

Carnegie Mellon University

Master of Science in Business Analytics

Merit scholarship recipient. Featured in Clear Admit. PT MSBA Ambassador. Operations Researcher. Dean's Honor List (5/5). Multi-award-winning writer.

October 2020 - June 2024

University of California

Bachelor of Science in Mathematics (Applied Mathematics and Chemistry)

Dean's Honor List (15/15). Multi-award-winning conference presenter and writer.

Research / arXiv preprintA Grover-Based Quantum Algorithm for Solving Perfect Mazes via Fitness-Guided Search

05 / Sharing knowledge

Teaching &
mentorship.

A practice that connects my research, engineering, and work with learners.

I began teaching at age seven.

Sharing knowledge has been a thread through my work, from private tutoring to research mentorship and quantum software instruction.

My aim is to make complex ideas approachable and create a supportive environment where learners can build confidence in the material.

May 2024 - January 2026

Quantum software instruction

MIT Beaver Works Summer Institute

Taught Qiskit fundamentals, developed student projects, and led quantum software curriculum. As lead instructor, mentored instructors and teaching assistants and established technical standards.

June 2023 - August 2023

Research mentorship

NSF Materials and Connections REU · UC Riverside

Mentored an undergraduate researcher in polymer synthesis and quantitative and analytical chemistry, supporting research problem-solving, symposium and poster preparation, and professional growth.

Teaching beyond the classroom

My teaching portfolio lists tutoring across K–12, AP and IB, and university-level subjects, including graduate-level mathematics.

Teaching portfolio Learning resources

Early teaching history is personal background. Formal roles and dates are drawn from my CV; tutoring subjects are listed on my teaching portfolio.

06 / Start a conversation

Have a hard problem?
Let’s think it through.

For engineering opportunities, research collaborations, or a thoughtful exchange of ideas.

Get in touch Explore consulting LinkedIn