People

Adji Bousso Dieng

Lab Director

I am an Assistant Professor of Computer Science at Princeton University where I lead Vertaix on research at the intersection of artificial intelligence and the natural sciences. I am affiliated with the High Meadows Environmental Institute (HMEI). I am also a Research Scientist at Google AI and the founder and President of the nonprofit The Africa I Know. I have been named an AI2050 Early Career Fellow by Schmidt Futures and the Annie T. Randall Innovator of 2022 for my research and advocacy by the American Statistical Association. I received my PhD from Columbia University where I was advised by David Blei and John Paisley. My doctoral work received many recognitions, including a Google PhD Fellowship in Machine Learning, a rising star in Machine Learning nomination by the University of Maryland, and a Savage Award from the International Society for Bayesian Analysis, for my doctoral thesis.

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Andre Niyongabo Rubungo

PhD Student

I am a PhD student in Computer Science at Princeton University, where I am advised by Adji Bousso Dieng. I am interested in Artificial Intelligence, with a focus on Multitask and Multimodal Learning. I aim to leverage Natural Language Processing and Machine Learning to solve challenging problems in the Sciences. I completed my Masters and Bachelor’s degree in Computer Science and Technology at University of Electronic Science and Technology of China (UESTC) in China. My research in natural language processing during my Masters spans several topics. I have worked on machine translation, language modeling, text classification, summarization, sentiment analysis, common sense reasoning, named-entity recognition, and dataset creation and curation for low-resourced African languages. In my free time, I enjoy playing soccer, going to the gym, running, and hiking.

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Constance Ferragu

MSE Student

I am a first year M.S.E. student in the Computer Science department at Princeton University, advised by Professor Adji Bousso Dieng. I graduated from École Polytechnique in Paris, France with a B.S. in Mathematics and Computer Science. I am interested in Artificial Intelligence, particularly in Energy-Based Models. Previously, I completed my Bachelor Thesis at Instadeep (Paris, France), where I worked on a Contrastive Learning Model in the context of Few-Shot Learning and Meta-Learning for Image Classification. Outside of work, I enjoy spending time in the mountains, either hiking or skiing.

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