People

Andrew Tulloch

Research Engineer

Facebook AI Research

I am a research engineer on Facebook AI Research Group. Before joining Facebook, I graduated with a master’s degree with distinction from Trinity College, University of Cambridge, studying mathematics and statistics as a Commonwealth scholar. My undergraduate degree was in mathematics from the University of Sydney, where I graduated with the University Medal and first class honors, ranking first in my year. After completing my undergraduate degree I joined Facebook’s advertising optimization group, working on large-scale distributed machine learned models for predicting user activity.

Interests

Machine learning and convex optimization

Machine Learning at Facebook: Understanding Inference at the Edge

Carole-Jean Wu, David Brooks, Kevin Chen, Douglas Chen, Sy Choudhury, Marat Dukhan, Kim Hazelwood, Eldad Isaac, Yangqing Jia, Bill Jia, Tommer Leyvand, Hao Lu, Yang Lu, Lin Qiao, Brandon Reagen, Joe Spisak, Fei Sun, Andrew Tulloch, Peter Vajda, Xiaodong Wang, Yanghan Wang, Bram Wasti, Yiming Wu, Ran Xian, Sungjoo Yoo, Peizhao Zhang

HPCA 2019 - February 16, 2019

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications

Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Khudia, James Law, Parth Malani, Andrey Malevich, Satish Nadathur, Juan Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy

ArXiv - November 24, 2018