Hamid Palangi
Hamid Palangi is an AI researcher whose work spans information retrieval, language models and reasoning. He studied electrical engineering and Teaching English as a Foreign Language, earned an M.Sc. at Sharif and began doctoral work at UBC. At Microsoft, he worked on ToxiGen and coauthored Orca and Orca 2; his sentence-embedding research for search received the IEEE Signal Processing Society's 2018 Best Paper Award. He is a Staff Research Scientist at Google, an Affiliate Associate Professor at the University of Washington and an advisor for Koidra.
Timeline
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By 2012
Early life and engineering studies
He studies electrical engineering at a teacher-training university in Tehran and earns a bachelor's in Teaching English as a Foreign Language. After earning an M.Sc. at Sharif University, he works for about a year as a start-up engineer and moves to Vancouver for a Ph.D. at UBC; by 2012, he is three months into the program.
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2012
A UBC workshop
At a departmental workshop in 2012, Microsoft Research's Li Deng presents deep-learning models for speech recognition, which introduces him to the field. His Ph.D. in Electrical and Computer Engineering at UBC covers compressive sensing, speech recognition, web search and information retrieval.
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2018–2019
Sentence embeddings for search
His coauthored sentence-embedding work for web search and information retrieval receives the IEEE Signal Processing Society's 2018 Best Paper Award (Test of Time), which the society presents in 2019.
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2017–2020
Research at Microsoft
From 2017 to 2020, he works on neuro-symbolic question answering, image reasoning, algebraic math problems, image captioning and multimodal retrieval. By 2020, he is a Senior Researcher at Microsoft Research Lab (AI) in Redmond, focused on natural-language processing and reasoning across language and vision.
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2022
ToxiGen and hate speech
In 2022, he coauthors ToxiGen, a large-scale machine-generated dataset for adversarial and implicit hate speech detection. The team uses large language models and careful prompt engineering to generate implicit hate examples across 13 minority identity groups.
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2023
Orca and Orca 2
In 2023, he coauthors the Orca and Orca 2 papers on small language models. Orca learns from GPT-4's step-by-step reasoning traces; Orca 2 trains 7-billion- and 13-billion-parameter models on tailored synthetic data to improve reasoning.
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2026
ScholarPeer for peer review
In 2026, he coauthors ScholarPeer, a multi-agent framework for automated peer review. It checks claims against literature and audits technical soundness to support researchers and reviewers.
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As of October 2026
Research roles at Google and UW
As of October 2026, he is a Staff Research Scientist at Google, an Affiliate Associate Professor at the University of Washington and an advisor for Koidra. He leads research projects and mentors staff and interns.
Sources and credits
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- Series to Highlight Young Professionals in Signal Processing: Dr. Hamid Palangi
- Welcome - Hamid Palangi
- Search engine-enhancing research from UBC and Microsoft wins best paper award
- (De)ToxiGen: Leveraging large language models to build more robust hate speech detection tools
- Orca - Microsoft Research: Publications
- Orca 2: Teaching Small Language Models How to Reason
- Hamid Palangi
- Speakers | SURGeLLM
