Capital One becomes founding partner of the Diversity Initiative at NYU CDS

“Whatever race, ethnicity, gender, sexual orientation, socioeconomic background, or disability, there is a place at CDS for everyone.”—Dr. Richard Bonneau, Director of CDS

The NYU Center for Data Science is a focal point for New York University’s university-wide initiative in data science and statistics. The Center was established to help advance NYU’s goal of creating the country’s leading data science training and research facilities, and arming researchers and professionals with tools to harness the power of big data. As part of its mission, The Center for Data Science (CDS) has set out to build a culture that embraces inclusion and diversity. These ideals are indispensable for advancing innovation and knowledge within the fields of technology, engineering, mathematics, and sciences. 
 
 Our Diversity Initiative was established to catalyze greater diversity and broader representation in data science; we believe the inclusion of students differing from all backgrounds leads to a higher quality of debate and ideas that may not have been reached otherwise. We are thrilled to announce that Capital One has become one of the founding partners for this initiative. With their support, our objective to increase diversity in data science will be accomplished through the following: providing scholarships and financial support to students, funding research projects, providing travel funds to disseminate research at conferences and seminars, and hosting seminars to bring data scientists to CDS.

Adam Wenchel, Vice President of Machine Learning & Data Innovation and co-lead in Capital One’s Center for Machine Learning, an in-house center of excellence for machine learning, noted, “NYU Center for Data Science’s Diversity Initiative is an important endeavor that we believe will contribute a diverse range of talent, background, perspective, and expertise to the field, and we are proud to support and participate in the program. As the technical applications of data science, statistics, and machine learning become more ubiquitous throughout industry and society, it is imperative to foster a well-informed, inclusive, and multi-faceted populace of practitioners that will create the breakthrough discoveries of tomorrow.”

While our partnership with Capital One has just kicked off, we’ve already been hard at work hosting planning meetings and research exchanges, discussing capstone projects, and planning for core areas of research that we look forward to advancing in the year to come. Specific areas of research the team will explore include mathematical statistics, computational statistics and machine learning, optimization and large-scale computation, system design for large-scale data science, data visualization and other subsets of machine learning such as deep reinforcement learning.

We are looking forward to an exciting future and to the many things we will accomplish together as the program progresses.

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