Omoju Miller — What really makes a coder? A machine learning approach to the tech pipeline


There is a myth in technology that talent stems from innate ability. Really though it’s a process of learning and hard work.

As seen through history, technology can destabilize the jobs market. This begs the question: what are truck drivers going to do in the age of driverless cars? Omoju Miller’s work puts forward the idea that we can scale adult technical education for workforce readiness while leveraging that opportunity to equalize participation. In her doctoral work at Berkeley she’s taken a machine learning approach into understanding why students choose Computer Science.

Why should you come to this talk?

  • Learn how data-driven approaches can be used to confront very thorny social issues
  • Get a unique view into the how and why of machine learning

Why should you care?

  • You can make informed decisions about what to fund when you approach education funding
  • A talented workforce begins in the classroom

Read more about this work here:


About Omoju Miller

Omoju Miller is a Data Scientist with over a decade of experience in computational intelligence. She has a Ph.D. from UC Berkeley. In the past, she has co-led the non-profit investment in Computer Science Education for Google and served as a volunteer advisor to the Obama administration’s White House Presidential Innovation Fellows. She is considered one of the folks to watch, as part of Bloomberg’s Beta Future Founders program.


Can't join us in person? This event will be streamed at 7pm Eastern.

Event Details

Tuesday, Feb 7, 2017

6:30-7:00 pm: Registration
7:00-8:00 pm: Presentation
8:00-9:00 pm: Social Hour

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