• Hello!
    I'm Michelle


















  • I am a Technologist

About Me

Who Am I?

I’m an experienced tech leader and data scientist, innovator, and evangelist.

Passionate about using data and AI to solve important problems responsibly, I’m also dedicated to advancing diversity in tech. I have a diverse background spanning software engineering, AI and financial services. Currently serving as CAIO Chief AI Officer at venture backed startup AI Squared (former CTO and Head of Product). Previously, I’ve been an AI CTO at JPMC and Head of AI Innovation at Chase Bank, with Oracle as the global head of financial web applications eng and product, had lead product roles at three companies that were acquired, and founded my own fintech as CEO and Chief Data Scientist that mined public company filings for ESG investment signals.

With an MBA in Finance from Kellogg, I give back in various ways including on the Kellogg MBAi advisory board, mentoring underrepresented groups in tech, boosting food security, and helping manage climate change in my community.

Tech Leader

Data Scientist

Innovator

Evangelist

Get in touch if you would like to collaborate!

Contact Me
Giving Back

Volunteering

Advisory Board Member, MBAi Program

McCormick School of Engineering / Kellogg School, Northwestern 2021 – Present

Judge and Mentor, Code for Good

JPMC 2021 – 2022

Coding Teacher, Under-represented groups

Railsbridge 2017-2018

Cups of coffee
Million Users Impacted
Countries Tech in Production
Languages Tech in Production
Some Recent External Events

Speaking

I'm a speaker on topics including AI, tech, innovation, and diversity.

Kellogg Global Summit AI Trends – Miami

2024

Finovate Spring AI Squared new Predictive AI – San Francisco

2023

VB Transform GenAI AI Squared Chatbots – San Francisco

2023

Finovate Fall AI Squared new Generative AI – New York City

2023

Ethics in AI at CDAO Apex West – Scottsdale

2022

Data Science and Innovation: Overcoming Complexity to Drive Competitive Advantage at Chief Data and Analytics Officers – SF

2022

Guest Lecturer: MBAi program Kellogg-McCormick Schools, Northwestern

2022

Scaling Trustworthy AI to Create Tangible Business Value Chief Data and Analytics Officers – NYC

2022

Agile and AI CDAO Apex - Online

2021

Overcoming Challenges when implementing ML and NLP Technology Boardroom, Waters Tech

2021

Increase Success of Automated Tech with Tactful Planning and Execution of AI DATAx – Online

2021

AI in Banking Ai4 – Online

2021

The State of AI in Banking Ai4 – Online

2021

Opening Keynote: “AI Innovation Everywhere” ImpactAI – Silicon Valley

2020
Education

Education

Northwestern University
Evanston, Illinois

Evanston, Illinois
Varsity Crew Team

Nine month intensive online program

One year intensive online program

Experience

Work Experience

AI Squared, CAIO (Chief AI Officer), previous CTO and Head of Product
2023-Present Silicon Valley, CA and Boston, MA

As CAIO, lead internal AI efforts and help make customers successful in their AI efforts. As CTO, oversaw all aspects of technology and product including AI, software engineering, IT, product management and research.

  • Part of three member executive leadership team driving this high-velocity VC backed startup
  • Lead the vision, roadmap, build and delivery of cutting edge AI solutions for enterprise customers
  • Manage multiple teams in multi-layer geographically distributed org
  • Represent the company in technology and product related discussions with customers, partners and investors and present at external events
  • Delivered the first GenAI offering
  • Built the first SaaS platform offering
  • Brought the first large scale enterprise customer to production
  • Helped raise series A funding with top tier VCs including NEA, leading tech due diligence

JPMorgan Chase, AI CTO

Head of AI Innovation, Chase Bank
2019-2023

CTO for Central AI/ML, Marketplace, Vocabulary and External Data, Consumer Bank (2021 - 2022)

  • Responsible end to end for all aspects of technology, strategy, and people management
  • Attract, hire, lead, and coach a new team from scratch including capabilities for design, project, agile, engineering, data, and managers
  • Manage multiple teams in multi-layer geographically distributed Data Technology org
  • Research, design and deliver v1 of Data Marketplace on AWS EKS (containerized cloud deployment)
  • Set tech strategy; design end-to-end data technology; build the pipelines, microservices and applications
  • Founded and run firmwide AI/ML Sharing Club for collaboration
  • AI Spokesperson for the firm, with more than a dozen speaking events to date.
Head of AI Innovation, Digital (2019 - 2021)
  • Player/coach leading teams to ideate, build, train and productionize AI/ML technology at JPMC scale for Consumer, Business Banking, and Wealth Management customers with 90 products and 1.5 BN monthly logins
  • Create innovation pipeline funnel of 30 researched and vetted ideas
  • Use scientific process promoting 9 initiatives to flight, 12 models deployed, and 1 full AI system, including a stealth highly visible project to the CEO
  • I built 100+ ML models including NLP, deep learning (SNN, CNN, LSTM), with accuracy up to 98%, and a new API and web application MVP
  • Manage engineering team including all code reviews and sprints
  • Filed 5 AI/ML patents as Lead inventor (NLP, Deep Learning, GraphML)
  • Selected to demo our project at company-wide Innovation Week.

Data Simply, CEO / Co-Founder / Chief Data Scientist
2016-2019 Palo Alto, CA

  • Co-built SaaS data platform generating ESG investing signals from text in company SEC disclosures, using data science and AI
  • Managed all data science, software engineering and product deliverables
  • Delivered 100MM+ automated insights for financial sentiment and sustainable investing (ESG) with streaming real time data
  • Deployed production data pipelines at scale with 99% automation
  • General Manager for the company; raised funding; partnered with industry leader for full integration into their platform.

Insight Data Science, AI Engineering Fellow
2018 San Francisco, CA

  • Selective program to build applied AI systems with group collaboration
  • Built cryptocurrency funds flow predictor achieving 98% precision
  • Created pipeline using blockchain, custom datasets, and machine learning
  • Applied Deep Learning to new $200BN Crypto asset class.

Ariba and Various Startups, Director, Product
2004-2015 Silicon Valley, CA

  • Software product management leader at three acquired companies
  • Defined and rolled out company-wide product roadmap for public company
  • Drove successful Asia launch of world's largest B2B marketplace
  • Led 12 PM teams from product conception through launch and lifecycle, with multiple user segments and delivery methods.

Oracle Corp, Group Manager, Financial Applications Engineering
1997-2004 Silicon Valley, CA

  • Managed Financial web application software engineering and PM teams of 40+ designing, building, and maintaining global SaaS enterprise software suite
  • Innovative approaches raised flagship iExpenses to market leader
  • Introduced agile for 12X faster to market for $XX MM revenue stream
  • Led customer adoption program to 100% referenceability.

My Portfolio

Some of My Projects, Volunteering, and Open Source Contributions

AI Playbook

A Step by Step Guide to Creating your Organization’s AI Playbook: Boat or Moat?

Read It

Lead inventor of US Patent US11704439B2:

Systems and methods for managing privacy policies using machine learning

Read It

Reading the Minds of Central Bankers: Predicting Fed Funds Rate Changes Using NLP

Used machine learning (NLP) to predict rate changes purely from Central Bank meeting transcripts. Significantly beat the industry benchmark.

Presentation Code

How AI Can Reduce Your Customer Churn

Customer churn is the loss of customers. It's a key success metric for many businesses. It's also important because from an economic perspective, it costs much less to keep customers than to get new ones.

Code

Ethereum Flow Predictor: Gazing into the Crypto Ball

Used Deep Learning to Predict Cryptocurrency Flows using Blockchain Data.

Presentation

Code and Run the Business at Data Simply

Data science meets sustainable investing

Blog Post

Open Source: FinTech Sandbox

Community-contributed security master and ingest scripts for a variety of financial data providers

Learn More