Summary
Faeze Brahman is a Senior Research Scientist at the Allen Institute for AI with nine years of experience advancing natural language understanding and controllable text generation. With a PhD in Computer Science from UCSC and postdoctoral work at the University of Washington, she focuses on social commonsense reasoning and unsupervised learning to instill human-like communication and reasoning in machines. Her trajectory at AI2 — from intern to Young Investigator, Research Scientist, and now Senior Research Scientist — reflects deep domain expertise and sustained research impact. She blends academic rigor with applied research, having interned at Microsoft and PARC and worked on MOSAIC-style commonsense projects, and she often explores less-trodden questions about how social context shapes generative model behavior.
9 years of coding experience
7 years of employment as a software developer
Postgraduate Degree, Postgraduate Degree at University of Washington
Master of Science (MS), Electrical Engineering, Master of Science (MS), Electrical Engineering at Iran University of Science and Technology
University of California Santa Cruz
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Baskin Engineering at UCSC
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English, French, Persian