About me
Hey there! My name is Todd Morrill.
I’m a second-year PhD student in Computer Science at Columbia University advised by Professor Richard Zemel. During my master’s in CS at Columbia, I was also advised by Professor Kathleen McKeown. I am broadly interested in machine learning and neuroscience and am currently working on and thinking about spiking neural networks and unsupervised multimodal representation learning using alternatives to backpropagation.
I currently live in New York City with my fiancé and our sheepadoodle, Ziggy. Outside of work, I like to bike, hike, camp, ski, and cook. In a former life, I loved to study languages and still speak Mandarin Chinese well enough. I also worked in industry for 10 years as a machine learning engineer at PwC implementing machine learning systems for our clients.
All views expressed on this site are my own.
