Nate Harada Machine Learning in Real Life


I’m Nate Harada, 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. Before that I was a grad student at University of Michigan, and before that I did my undergrad at Tufts University. 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.