CDS-Courant Undergraduate Research Program
PROGRAM DATES: JANUARY 24 – MAY 18, 2022
LOCATION: RESEARCH PROJECTS WILL TAKE PLACE REMOTELY
FELLOWSHIP AWARD: $3,500
APPLICATION DEADLINE: OCTOBER 31, 2021
The NYU Center for Data Science
The Center for Data Science (CDS) is the focal point for New York University’s university-wide efforts in Data Science. The Center was established in 2013 to advance NYU’s goal of creating a world-leading Data Science training and research facility, and arming researchers and professionals with the tools to harness the power of Big Data. Today, CDS counts 20 jointly appointed interdisciplinary faculty housed on three floors of our magnificent 60 5th Avenue building, one of New York City’s historic properties. It is home to a top-ranked MS in Data Science program, one of the first PhD programs in Data Science, and a new undergraduate program in Data Science, as well as a lively Fellow and Postdoctoral program. It has over 70 associate and affiliate faculty from 25 departments in 9 schools and units. With cross-disciplinary research and innovative educational programs, CDS is shaping the new field of Data Science.
CDS Monthly Research Feature (November 2023)
Grace Lindsay investigates if AI is conscious, Angelica Chen schools us on the evolution of interpretability, William Merrill brings us closer to understanding the limitations of large language models, and more on November’s CDS Monthly Research Feature!
Qi Lei Receives the Whitehead Fellowship
Congratulations to CDS Assistant Professor of Mathematics and Data Science Qi Lei on receiving the Whitehead Fellowship for Junior Faculty in Biomedical and Biological Sciences! The three-year fellowship is granted to recent PhD and MD graduates with demonstrated excellence in research.
Free Online Resource: Yann LeCun’s Deep Learning Course
Yann LeCun’s Deep Learning Course covers the latest techniques in both deep learning and representation learning, focusing on supervised/self-supervised learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition.
Free Online Resource: Mathematical Tools for Data Science
Mathematical Tools for Data Science, developed by CDS Associate Professor Carlos Fernandez-Granda, provides an introduction to tools from several areas of mathematics such as linear algebra, Fourier analysis, probability theory, and convex optimization, which are useful in data science.
- Data Science Lunch Seminar Series: Saadia Gabriel, NYU
November 29, 2023, 12:30 pm
- NLP and Text-as-Data Speaker Series: Daniel Khashabi (Johns Hopkins University)
November 30, 2023, 4:00 pm
- Data Science Lunch Seminar Series: Mor Naaman, Cornell Tech
December 6, 2023, 12:30 pm
Week of May 8th
May 8, 2023
May 9, 2023
May 10, 2023
May 11, 2023
May 12, 2023
May 13, 2023
May 14, 2023