Megan is hired by startups and enterprises to build products that help people. She studied neuroscience, design, and programming. She has shipped to over 60 million people and launched startup and enterprise products at SXSW. Megan has taught and contributed to GA’s design curriculum, now taught worldwide.
Imagine a world where everyone gets education, financial freedom and health. As an entrepreneur, that’s what Megan is out to create. Recently she’s taken up teaching machines to learn and herself to cook. When she’s not traveling you can find her in the ocean or on her bike.
Data Analytics 101
In this hands-on introductory workshop, you’ll learn to ask the right questions of your data, while learning basic analytic functionality & manipulating real- data sets.
User Experience Design
In this course, students learn to build wireframes, implement best practices for common design patterns and analyze business goals from a user perspective.
Trial Class: User Experience Design
Curious about General Assembly’s User Experience Design course? Join us for a Trial Class - meet the instructor, get an intro to the curriculum, and experience a sample session.
Starting a Design Career in San Francisco (Free Class + Happy Hour)
Come learn from San Francisco design industry vets about what it takes to get a career started as a designer in San Francisco.
Introduction to the San Francisco Design Community
This free class is an orientation to help newcomers and recent design school graduates get acquainted with the exciting world of design in San Francisco.
User Experience Design Info Session
Are you curious about General Assembly’s upcoming User Experience Design Course? Come hear from the instructor and GA alumni and figure out if this course is a fit for you.
Getting Hired As A User Experience Designer
Looking for a job as a UX Designer? Want to know more about how to get there? Learn the fundamentals of getting hired in the field of UX from an expert on the topic.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.