I am a research scientist at Anthropic working on large language models, and my work aims to reduce the risk of catastrophic outcomes from advanced machine learning systems. I also spend some time at New York University (NYU) collaborating with Sam Bowman's group on AI safety research. I received my PhD from NYU under the supervision of Kyunghyun Cho and Douwe Kiela and funded by NSF and Open Philanthropy. Previously, I've spent time at DeepMind, Facebook AI Research, Montreal Institute for Learning Algorithms, and Google. I earned a Bachelor’s from Rice University as the Engineering department’s Outstanding Senior.

perez at nyu dot edu

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Ethan's Research

Authors
Deep Ganguli*, Amanda Askell*, Nicholas Schiefer, Thomas I. Liao, Kamile Lukošiute, Anna Chen, +41 more, Samuel R. Bowman, Jared Kaplan
Authors
Ethan Perez, Sam Ringer*, Kamile Lukošiute*, Karina Nguyen*, Edwin Chen, Scott Heiner, +55 more, Nicholas Schiefer, Jared Kaplan
Authors
Samuel R. Bowman, Jeeyoon Hyun, Ethan Perez, Edwin Chen, Craig Pettit, Scott Heiner, +38 more, Ben Mann, Jared Kaplan
Authors
Deep Ganguli, Liane Lovitt, Jackson Kernion, Amanda Askell, Yuntao Bai, Saurav Kadavath, +28 more, Jared Kaplan, Jack Clark
Authors
Alicia Parrish*, Harsh Trivedi*, Ethan Perez*, Angelica Chen, Nikita Nangia, Jason Phang, Samuel R. Bowman
Authors
Jérémy Scheurer, Jon Ander Campos, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez
Authors
Ethan Perez, Saffron Huang, Francis Song, Trevor Cai, Roman Ring, John Aslanides, Amelia Glaese, Nat McAleese, Geoffrey Irving
Authors
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
Authors
Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, +3 more, Sebastian Riedel, Douwe Kiela
Authors
Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville, Yoshua Bengio
Authors
Simon Brodeur, Ethan Perez*, Ankesh Anand*, Florian Golemo*, Luca Celotti, Florian Strub, Hugo Larochelle, Aaron Courville

Blog

October 9, 2022

Inverse Scaling Prize Ideas

Written by Alex Lyzhov, Ian McKenzie, and Ethan Perez We collected a list of ideas for tasks to explore that could potentially show inverse scaling! These […]
September 13, 2022

Personal Research Statement
for Ph.D. Programs in Machine Learning

A few people have asked to read my personal research statement for Ph.D. programs in machine learning, so I’ve released my statement here (link). The statement […]
September 5, 2022

Easy Paper Writing Tips

Easy Paper Writing Tips Below are a few paper writing tips that improve the clarity of research papers, while also being fairly easy to implement: Minimize […]