- MS, statistics and computer science, Marquette University
I am an innovator, problem solver and hands-on data scientist with 20 years’ experience in advanced data analytics, including machine learning and deep learning. I have in-depth knowledge of health care data, business operations and health care products in various health care areas, and how they can best be applied to develop effective and innovative solutions to address health care issues.
As a data science subject-matter expert, I’m contacted by people and teams across the organization, for mentoring and direction to solve problems. I have created a few breakthrough innovation product/models that detect fraudulent claims in real time. I’ve recruited for and built data science teams and established machine learning capabilities. As a chief data scientist, I help advance and accelerate AI to solve challenging business problems, and mentor students in the Data Science University at Optum.
- Deep learning
- Natural language processing
- Machine learning
- Intelligent agents
- Society of Women Engineer Conference, host and speaker, 2019
- AI Accelerate Summit, 2019
- Twin Cities Startup Week, AI in Health Care panelist, 2019
- Nvidia GPU Technology Conference (GTC), 2019
- Global Data Science Conference, 2018
- Nvidia GPU Technology Conference (GTC), 2018
- O’Reilly AI Conference, 2018
- Twin City Analytics HALICON Conference, 2017
- University of Minnesota, Carlson School of Management, guest speaker on data science and machine learning, 2017
What’s one example of a really difficult problem in health care that you are solving using technology?
Fraud detection, health care operation automation, reducing the chronic care cost.
How are you keeping health care human while applying advanced technology?
AI technology drives health care transformation more than any other force. We need to create human-centric solutions and products to ensure the best outcomes for society as a whole.
What are you passionate about when you’re not at work?
I am a soprano and a yoga lover.
What advice would you give to your younger self?
Keep learning. Data science is an art. Focus on the solutions to solve the problem by using critical thinking, instead of only doing what is asked.