Sixty Princeton University students showcased a wide range of research last month at the Center for Statistics and Machine Learning’s year-end poster session. At the May 11th event, 48 seniors and 12 juniors from 11 departments across campus presented posters describing their independent research. Topics included: analyzing shot selection in NBA basketball games, developing an automated cryptocurrency trading bot, detecting groupthink on Reddit forums, programming an economically optimal fleet of self-driving electric cars, and using machine learning techniques to monitor Internet-of-Things networks. Students developed and completed these projects as a component of the Centers’ Undergraduate Certificate in Statistics and Machine Learning.
“This annual event showcases the depth and breadth of subject matter that the students have worked on as part of the certificate program,” said Peter J. Ramadge, the Gordon Y.S. Wu Professor of Engineering, and CSML director. “The questions examined range from theoretical foundations, to solving real world problems through data-driven methods. Moreover, the work highlights the valuable skills certificate students have attained though an education in modern statistics and machine learning. It’s an exciting time to be in data science, since interest in the field has grown rapidly in recent years. This event, the largest we have held to date, is clear evidence of that.”
Sridutt Nimmagadda ’18, based at the Woodrow Wilson School of Public and International Affairs, won the Independent Work Prize this year for his work on analyzing the correlation between the length of a civil war conflict and the occurrence of human rights violations. More on Nimmagadda’s research can be found at this link.
“We are so proud that the students have developed great projects that attest to the interdisciplinary and collaborative nature of the center. We have students from a wide range of departments,” said Sarah McGovern, CSML assistant director. “Engineering, the humanities, sciences, and social sciences are all represented.”
The undergraduate CSML certificate program was started in 2013 and is open to all Princeton students who have an interest in the theory and applications of data science, statistics, and machine learning. Last year, 35 students presented at the year-end poster session.