Nate Harada Machine Learning in Real Life

About

I’m Nate, currently working with the computer vision team at Cruise Automation to build better perception systems for robot cars. I used to work at Fitbit in the R&D division, where I researched how we can apply advanced AI to sensors and health data to make people healthier. In grad school I worked in Zeeshan Syed’s lab, investigating how deep learning can improve our understanding of heart diseases such as atrial fibrillation.

My interests lie at the intersection of machine learning and the real world: I most enjoy work on problems related to images, sensor data, audio, or other physical data. I believe that as computation and sensors are further woven into the fabric of our lives, we need smarter interaction models to help us make sense of it all.

If you need help figuring out machine learning in real life, I’m happy to help. I ❤️ pro bono work with non-profits – if you have a good cause that needs proven ML expertise and experience, especially anything related to solving the climate crisis, I’d love to chat.