The results of the Unsupervised Deep Video Denoising on a snowboarding video!

When you take videos with a camera, like the one in your smartphone, there are often random voltage fluctuations in the light sensors. This introduces noise, making the videos look grainy. It can often be hard to extract information from a noisy video. Whether you’re taking raw footage in the dark or using fluorescence microscopy, noise detracts from the video quality causing it to be much harder to decipher the filmed data. Currently, state-of-the-art video denoising is achieved by deep neural networks, and they are typically trained to map noisy videos to clean videos. However, in many applications (i.e., …


After a long, hot (and hopefully relaxing) Summer, Fall has arrived in New York City. At CDS, we are so excited to welcome the cooler weather along with our new and returning students in data science in-person! While we are so happy to resume in-person activities and instruction this semester, we understand that the transition might be a challenge for some to navigate. With this in mind, we wanted to take a moment to highlight some resources for our community members:

NYU Wellness Exchange

Self care has never been more important throughout the pandemic. While we are returning to in-person…


Healthcare has been, and continues to be an important issue for voters in the U.S. To understand the relationship that voting patterns have with health, disease, and mortality, CDS PhD student Tymor Hamamsy, alongside colleagues, has co-authored “Viewing the US presidential electoral map through the lens of public health”. The paper was recently published in PLOS ONE, an open-access, peer-reviewed scientific journal published by the Public Library of Science. …


CDS MS alumna Ningyuan (Teresa) Huang and CDS affiliated professor Sonali McDermid recently published “Moisture and temperature influences on nonlinear vegetation trends in Serengeti National Park”, in IOPscience’s Environmental Research Letters, a high-impact, open-access journal in the area of environmental science research. Using rigorous statistical approaches, their study revealed long-term, nonlinear vegetation trends in Serengeti National Park, which is a critical protected area in East Africa “where seasonal vegetation cycles support vast populations of grazing herbivores and a host of ecosystem dynamics”.

Ningyuan (Teresa) Huang, CDS Alumna (left) and Sonali McDermid, CDS affiliated professor (right)

Previous research on the park demonstrates how non-climate drivers, such as land use, shape the park’s ecosystem. However…


In the realm of self-supervised learning, state-of-the-art algorithms can broadly be divided into two groups: contrastive approaches and non-contrastive approaches. But what if there could be a third, unique approach? This is the main question that was answered in a recent publication authored by CDS PhD Student William Falcon, along with researchers at Grid AI and CDS faculty Kyunghyun Cho. The paper, titled “AAVAE: Augmentation-Augmented Variational Autoencoders” introduces the titular augmentation augmented variational autoencoders or “AAVAE.”

The research team looked at quite a few techniques from different domains like vision, NLP and reinforcement learning, and identified that data augmentation was…


CDS PhD students Guy Davidson and Yanli Zhou have co-authored papers that were recently presented at the 43rd Annual Meeting of the Cognitive Science Society, CogSci 2021, which took place virtually July 26 — July 29. The conference is a gathering of cognitive scientists, organized by the Vienna Cognitive Science Hub — a network of researchers at the University of Vienna focused in the areas of Cognitive Science and Cognitive Neuroscience.

“Examining Infant Relation Categorization Through Deep Neural Networks” by Guy Davidson and co-author and advisor CDS Assistant Professor Psychology and Data Science, Brenden Lake, models the phenomena of infant…


We are always excited to spread the word about the accomplishments of our students, researchers and faculty. Today, we get the opportunity to celebrate He He, CDS Faculty and Assistant Professor of Computer and Data Science, as the recipient of a Google Research Collabs Award!

Google’s “Research Collabs Program” is the company’s initiative that aims to ”enable a student and faculty member to conduct joint research with a Google researcher.” …


An education at CDS is not just about the technical and theoretical aspects of being a data scientist but also the practical ones. We strive to make sure every one of our students has the knowledge of where a degree in data science could take them and how they can use it to reach their professional goals.

As part of this mission, we hold regular information sessions with companies looking to hire data scientists. One such session took place in July with Citi. …


This entry is a part of the NYU Center for Data Science blog’s recurring guest editorial series. Zhouhan Chen is a CDS PhD student.

Zhouhan Chen, CDS PhD Student

Infodemic is a term that describes the spread of misinformation on a massive scale. It is an old word, because there were rumors and conspiracies back in the Middle Ages. It is also a new term, because today’s infomedic is more sophisticated, coordinated, and contagious with the help of the Internet.

In fact, not long after the outbreak of COVID-19 in 2020, the World Health Organization (WHO) expressed concerns about a COVID-19 infodemic, including the proliferation…


CDS Assistant Professor of Linguistics, Data Science, and Computer Science Sam Bowman recently earned both a National Science Foundation CAREER award as well as Google Research Collabs Award.

Sam Bowman, CDS Assistant Professor of Linguistics, Data Science, and Computer Science

Sam’s project funded by the NSF Career Award focuses on language problems in AI systems, addressing the lack of efficiency in crowd work which is when a large population of non-specialists are hired to produce example answers to questions, example summaries of documents, etc. Utilizing a diverse group of people to provide data for pay is intended to enable the building of specialized language technology systems quickly, and to ensure that they…

NYU Center for Data Science

Official account of the Center for Data Science at NYU, home of the Undergraduate, Master’s, and Ph.D. programs in Data Science.

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