I'm a second-year PhD student in Computer Science at Stanford, advised by Noah Goodman and part of the Stanford NLP Group. My research area is machine learning, especially applied to natural language processing. Recently, I've been thinking about curiosity, abstraction, and transfer in unsupervised learning.
In the past, I've worked on projects in reinforcement learning, HCI, and computational astronomy. I've also spent time at Google Brain, Google Language, and Google Civics.
I'm grateful to be supported by an Open Philanthropy AI Fellowship.
Language Through a Prism: A Spectral Approach for Multiscale Language RepresentationsAlex Tamkin, Dan Jurafsky, Noah GoodmanNeurIPS 2020Alex Tamkin, Trisha Singh, Davide Giovanardi, Noah GoodmanFindings of EMNLP 2020Alex Tamkin, Ramtin Keramati, Christoph Dann, and Emma Brunskill. NeurIPS 2019 Workshop on Safety and Robustness in Decision Making; RLDM 2019 Alex Tamkin, and Emma Brunskill. AAAI 2020 Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D Greene, Dan Jurafsky, Christopher Potts, and Lauri KarttunenNAACL 2019 Alex Tamkin, Cheng Yao Wang, Luke Vink, Michelle Park, Tommy Fang, and James A Landay. HRI 2019 Alex Tamkin. American Astronomical Society Meeting Abstracts, 2019
Other topics I think a lot about:
Fostering a healthy and inclusive research culture
AI policy, safety, and equity
Connecting people and ideas from different fields
Outside of research, I organize the Stanford Queer in AI Dinner with Stanford Inclusion in AI