Adji Bousso Dieng
Adji Bousso Dieng is a Senegalese computer scientist who applies machine learning to scientific discovery. She studied engineering in France and applied statistics at Cornell, then earned a statistics Ph.D. at Columbia in 2020. Her research includes the Embedded Topic Model, which combines word embeddings with topic modeling, and the Vendi Score, a metric for measuring diversity in machine-learning data and generated outputs. By 2021, she had founded The Africa I Know; in 2026, she joined the United Nations' Independent International Scientific Panel on Artificial Intelligence and won an NSF CAREER Award. As of October 2026, she is an assistant professor at Princeton and leads Vertaix on AI and the natural sciences.
- Now at
- Princeton University
- Works
- 52
- Citations
- 1,971
- h-index
- 17
Publication numbers from OpenAlex, as of 18 October 2026.
Timeline
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May 2020
A statistics doctorate
A native of Senegal, she earns a statistics Ph.D. at Columbia in May 2020 after studying engineering at Télécom Paris and applied statistics at Cornell.
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2020
The Embedded Topic Model
With Francisco J. R. Ruiz and David M. Blei, she publishes the Embedded Topic Model in 2020. It combines traditional topic modeling with word embeddings and learns interpretable topics from large vocabularies.
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2020–2025
Google DeepMind and Princeton
She starts as a research scientist at Google DeepMind in 2020 and holds the role through 2025. She joins Princeton's computer science faculty in 2021.
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By 2021
The Africa I Know
By 2021, she is the founder of The Africa I Know, a nonprofit that aims to change narratives about African history, knowledge and innovation and to support young Africans' STEM careers.
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2023
The Vendi Score
In 2023, she and Dan Friedman publish the Vendi Score, a machine-learning metric for measuring diversity in datasets and generative models.
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2026
A U.N. panel and NSF award
In February 2026, the U.N. General Assembly confirms her appointment to the Independent International Scientific Panel on Artificial Intelligence. She wins an NSF CAREER Award in 2026 for research on a new AI paradigm for scientific discovery.
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As of October 2026
Leading Vertaix at Princeton
She is an assistant professor of computer science at Princeton and leads Vertaix, a lab that researches the intersection of AI and the natural sciences.
Career
- Since 2021Princeton UniversityAssistant Professor of Computer Science
- From 2026United NationsMember
- 2020–2025Google DeepMindResearch Scientist
- The Africa I KnowFounder
Education
Most-cited works
- Topic Modeling in Embedding SpacesWith David M. Blei
- Edward: A library for probabilistic modeling, inference, and criticismWith David M. Blei
- TopicRNN: A Recurrent Neural Network with Long-Range Semantic DependencyWith Jianfeng Gao
- Avoiding Latent Variable Collapse With Generative Skip ModelsWith Alexander Rush and David M. Blei
- Readmission prediction via deep contextual embedding of clinical conceptsWith David M. Blei
Sources and credits
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- Adji Bousso Dieng on AI, breaking barriers, and computing as empowerment
- Topic Modeling in Embedding Spaces
- Adji Bousso Dieng and Aleksandra Korolova named to U.N. scientific panel on artificial intelligence
- The Vendi Score: A Diversity Evaluation Metric for Machine Learning
- Dieng wins NSF CAREER award for research on a new AI paradigm for scientific discovery
- Adji Bousso Dieng


