Maithra Raghu
Maithra Raghu is a researcher whose work compares the representations that neural networks learn. She worked as a research scientist at Google Brain from 2015 to 2022, and in 2017 she co-authored SVCCA, a tool for quickly comparing two representations. She completed a PhD in computer science at Cornell in 2020 under Jon Kleinberg, and her undergraduate degree is in mathematics from Cambridge. Her startup, Samaya AI, launched in 2022 to streamline processes for analysts in the finance industry, and TIME named her an Innovator on its 2025 TIME100 AI list. As of October 2026, she is co-founder and CEO of Samaya AI, which announced $43.5 million in financing in May 2025.
- Now at
- Samaya AI
- Works
- 31
- Citations
- 2,058
- h-index
- 17
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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2015–2022
A research scientist at Google Brain
She works as a research scientist at Google Brain from 2015 to 2022, studying representations and learning in cutting-edge deep learning systems.
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2017
SVCCA for comparing representations
She co-authors SVCCA in 2017, a tool for quickly comparing two representations learned by neural networks.
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2019
Transfusion for medical imaging
She co-authors Transfusion at NeurIPS in 2019, a study of transfer learning for medical imaging.
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2020
A PhD at Cornell
She completes her PhD in computer science at Cornell in 2020, advised by Jon Kleinberg. Her undergraduate degree is in mathematics from Cambridge.
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2022
Co-founding Samaya AI
Her startup, Samaya AI, launches in 2022 to streamline processes for analysts in the finance industry.
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2025
A TIME100 AI Innovator
TIME names her an Innovator on its 2025 TIME100 AI list.
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May 2025
A $43.5 million financing round
Samaya AI announces $43.5 million in financing in May 2025, led by New Enterprise Associates.
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As of October 2026
Co-founder and CEO of Samaya AI
She is co-founder and CEO of Samaya AI, a company whose customers can create teams of AI knowledge agents.
Sources and credits
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- Maithra Raghu
- [1706.05806] SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
- Interpreting Deep Neural Networks with SVCCA
- [1902.07208] Transfusion: Understanding Transfer Learning for Medical Imaging
- Two computer science alumnae among TIME100 AI list | Department of Computer Science | Cornell Bowers
- Samaya AI Announces $43.5m in Funding Led by NEA, Launches New AI Agent for Financial Services
- Samaya AI, startup building AI for financial services, raises $43.5 million in VC funding
- Samaya AI lands $43.5m to scale expert AI agents for finance sector