Anna Goldie



Google Scholar



agoldie at stanford dot edu

ML Researcher at Stanford / Google Brain

At Google Brain, I am a Staff Research Scientist and co-founder/lead of the ML for Systems team, where my research focus has been on developing deep reinforcement approaches to problems in computer systems, particularly chip design. My close collaborators include Jeff Dean, Quoc V. Le, and Azalia Mirhoseini.

At Stanford, I am a 3rd Year PhD student advised by Prof. Christopher D. Manning. My research is supported by an NSF Fellowship, and is focused on Natural Language Processing, particularly developing better representations of the meaning of words and language.

Previously, I graduated from MIT with a Bachelors in Computer Science, a Bachelors in Linguistics, and a Masters of Computer Science. I built a Mandarin-speaking dialogue system for my Masters thesis in the Spoken Language Systems Group in MIT CSAIL.

I've given high-profile keynotes in Mandarin Chinese, and my work has been featured in numerous media outlets, such as MIT Technology Review and IEEE Spectrum.

For fun, I like to learn human languages and I speak fluent Mandarin, Japanese, and French, as well as some German, Italian, Korean, and Spanish.


Azalia Mirhoseini*, Anna Goldie* (co-first author), Mustafa Yazgan, Joe Jiang, Ebrahim Songhori, Shen Wang, Young-Joon Lee, Eric Johnson, Omkar Pathak, Azade Nazi, Jiwoo Pak, Andy Tong, Kavya Srinivasa, William Hang, Emre Tuncer, Quoc V. Le, James Laudon, Richard Ho, Roger Carpenter, Jeff Dean. A Graph Placement Methodology for Fast Chip Design (Open Access, Review Article). Nature.

Anna Goldie and Azalia Mirhoseini. "Placement Optimization with Deep Reinforcement Learning". ISPD 2020.

Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter C Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon. "A Generalized Approach to End-to-End Computational Graph Optimization". NeurIPS 2020 (Oral).

Azalia Mirhoseini*, Anna Goldie* (co-first author), Hieu Pham, Benoit Steiner, Quoc V. Le, Jeff Dean. “A Hierarchical Model for Device Placement,” ICLR 2018.

Denny Britz*, Anna Goldie* (co-first author), Thang Luong, Quoc V. Le. “Massive exploration of neural machine translation architectures,” EMNLP 2017.

Louis Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope, Ray Kurzweil. “Generating high-quality and informative conversation responses with sequence-to-sequence models,” EMNLP 2017. (Co-first author on workshop paper which won best paper award at ICML 2017 Language Generation Workshop)

Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini. "Clustering by Learning to Optimize Normalized Cuts". NeurIPS 2019 Workshop on Sets & Partitions.

Yushi Xu, Anna Goldie, and Stephanie Seneff, "Automatic Question Generation and Answer Judging: A Q&A Game for Language Learning," Proc. SIGSLaTE 2009.

Anna Goldie, “CHATTER: A Spoken Language Dialogue System For Language Learning Applications,MIT Masters Thesis, June 2011.

Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini. "Generalizable Approximate Graph Partitioning Framework". ICLR 2019 Workshop on Representation Learning on Graphs and Manifolds.

Jialin Song, Joe Jiang, Ebrahim Songhori, Anna Goldie, Navdeep Jaitly, Azalia Mirhoseini. "Policy Optimization By Local Improvement Through Search". ICML 2020 Workshop on Inductive Biases, Invariances and Generalization in RL.

Awards and Recognition

MIT Technology Review’s “35 Innovators Under 35” (TR35 Global 2021)

Best Paper Award at the ICML 2017 Workshop on Generating Natural Language

Organizer for NeurIPS’18, NeurIPS’19, NeurIPS'20, and ISCA’19 Workshops on Machine Learning for Systems

Organizer for West Coast NLP 2018, 2019, and 2020 (founding organizer and MC this year)

Keynote Speaker for Google Developer Day in China 2017, 2018, and 2019 (in Mandarin, livestreamed to 10M+ people, Machine Learning and TensorFlow)

Invited Speaker for the Deep Learning Session of CRA's Distinguished Lecture Series

Guest Lecturer at Caltech, UCSD, UC Berkeley (video)

Stanford School of Engineering Fellowship 2019

National Science Foundation Graduate Fellowship Program 2020 (NSF GRFP)

AMTA Panelist for “Deploying Open Source Neural Machine Translation Toolkits in the Enterprise”

ACM Learning Center Interview:

Nature Podcast: