Hi, I'm William - a product-minded AI researcher. I also write about AI for Forbes.
I’m a Ph.D. student and Google Deepmind fellow co-advised by Kyunghyun Cho at NYU CILVR Lab and Eero Simoncelli at the LCV lab. My research interest is in the intersection of AI and neuroscience. I focus on developing biologically inspired deep learning and reinforcement learning techniques with applications to neuroscience, NLP and computer vision.
Previously I worked on neural decoding from the brain and retina at Columbia University's Center for Theoretical Neuroscience advised by professor Liam Paninski. I received my BA from Columbia University in Computer Science and Statistics, with a minor in Math.
I Co-Founded (and was CTO, CAIO) of AI startup NextGenVest to help students finance college over SMS. I was also a software engineer at Goldman Sachs and developed over 8 iOS apps as a product manager and iOS engineer.
I started my career as a naval officer undergoing US Navy SEAL training (BUD/S class 277) where I was injured and finished my military service at NSW Special Reconnaissance Team One (SRT-1).
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons
Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E.J. Chichilnisky, Liam Paninski
NIPS 2017 (main conference poster, spotlight), CCN 2017 (talk)
Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
William Falcon, Henning Schulzrinne
ICLR 2018 (main conference poster)
Cenozoic Antarctic DiatomWare/BugCam: An aid for research and teaching
Wise, S. W., M. Olney, J. M. Covington, V. M. Egerton, S. Jiang, D.K. Kulhanek, S. Ramdeen, H.Schrader, P. A. Sims, A. S. Wood, A. Davis, D. R. Davenport, N. Doepler, W. Falcon, C. Lopez, T. Pressley, O. L. Swedberg, D. M Harwood
Online Proceedings of the 10th International Symposium on Antartic Earth Sciences