People

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.

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.

I am a senior undergraduate in the Computer Science department at Princeton University. At Vertaix, I am working on analyzing the impact of incorporating diversity metrics on generalization performance in classification. After graduating, I will be joining Meta full-time on the Instagram Messaging Flywheel team. At Princeton, I have been involved in the Princeton Entrepreneurship Club and was the Co-Director of Tigers in Product (the product sub-team). Outside of work, I enjoy watching horror movies and traveling.

I am a second-year undergraduate at Princeton University studying mathematics with minors in computer science, statistics & machine learning, and optimization & quantitative decision science. I am broadly interested in exploring probability theory, mathematical statistics, and theoretical machine learning. In my free time, I enjoy cooking, reading fantasy, and studying medieval history.

I am a second year PhD student in the Quantitative and Computational Biology department at Princeton University, where I am advised by Prof. Adji Bousso Dieng. I graduated from Columbia University with a B.S. in Operations Research. At Columbia, I developed statistical methods to identify microbial dynamics from noisy and unstructured sequencing data. In my free time, I enjoy running, cooking, and watching football and basketball.

I am a third year undergraduate student in the Computer Science department at Princeton University. Previously, I have completed software engineering internships at Jane Street and Uber. As part of Vertaix, I am exploring diverse dataset curation for generative AI models. Outside of work, I enjoy writing, learning languages, and crocheting clothes.

I am a PhD student in Computer Science at Princeton University. 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.

I am a senior in the Computer Science department at Princeton University, with focuses on Machine Learning and AI. At Princeton, I have participated in a Quantum Cascade Laser Research Internship, and worked with Machine learning hate speech detection algorithms during my Junior and Senior years. Outside of work, I enjoy playing basketball in recreation leagues and making animations. I participate in the Black Arts Dance Company and I volunteer at Soup Kitchens in Trenton, NJ, and at the Whitman College Council at Princeton.

I am a senior in the Computer Science department at Princeton University. I am working on my bachelor's thesis exploring the application of the Vendi Score diversity metric to diverse information retrieval via large language models. Outside of school, I prefer to be outdoors and active. I love to ski and I've recently started learning to snowboard!

I am a PhD student in the Computer Science department. Before coming to Princeton, I got a BA from Swarthmore (in math + CS) and a Master’s from Cambridge (in maths, better known as “Part III”); I have also worked at NASA JPL and the Princeton Neuroscience Institute. Outside of work, I am an avid violinist and enjoy playing Shogi (Japanese chess).

I am a second-year undergraduate at Princeton University, majoring in computer science with minors in machine learning and statistics, and philosophy. My interests are broadly centered around the application of machine learning, specifically in natural language processing and computer vision. I am driven by a curiosity to explore how these technologies can enhance and transform our interactions and understanding. In my free time, I enjoy playing soccer and swimming.

I completed my PhD at the IMAGES group of the LTCI Lab in Télécom Paris (Institut Polytechnique de Paris), under the supervision of Florence Tupin and Loïc Denis. I worked on deep learning based methods for SAR image despeckling and uncertainty quantification. Previously, I obtained my M.Sc. in Computer Science from Télécom Paris (Institut Polytechnique de Paris), France where I majored in Image Processing and Data Science; and my M.Sc. in Applied Mathematics for Computer Vision from Ecole Normale Supérieure Paris-Saclay (Master MVA Mathématiques Vision Apprentissage), France.

I am a 4th-year PhD student in the Biomedical Engineering department at the University of Toronto, currently visiting Vertaix. I graduated from Isfahan University of Technology in Iran, with an M.S. in electrical engineering and communications systems. Previously, I worked on integrating machine learning with neural decoding algorithms for decoding movement trajectories from hippocampal neural activities. Outside of work, I enjoy spending time in the gym, hiking, or just chilling in nature.

I'm a junior in the Computer Science department and minoring in Cognitive Science at Princeton University. Currently, I'm working on machine learning methods for modeling animal vocalizations. Outside of classes, I enjoy reading mystery novels and visiting art museums.

I am a senior in the Computer Science department at Princeton University. I am interested in the application of AI to study environmental systems and climate solutions. With Vertaix, I am working on a novel deep learning architecture to predict properties of materials. In my free time, I enjoy swimming, hiking, and singing with my a cappella group!