Joyce Luo: using machine learning to help improve population health
March 7, 2022

For her CSML independent work project, Joyce Luo is working on a study that uses machine learning to model and analyze the opioid epidemic in the United States and then using that model to inform the optimization of a specific policy intervention. For the scope of this project, she is attempting to optimize the location of opioid treatment facilities that offer medication assisted treatment across the country.

Tavarria Zeigler: probing political and social issues with data science
March 2, 2022
Written by Sharon Adarlo

Within her major, Tavarria Zeigler is focusing on political theory. She became interested in statistical analysis in the context of politics through POL 345Introduction to Quantitative Social Science with Rocío Titiunik, professor of politics. She is now well on her way to fulfilling her CSML certificate requirements.

Students encouraged to develop machine learning algorithms for international “Climate Hack” competition
Feb. 23, 2022
Written by Sharon Adarlo

Princeton Data Science Club (PDS) encourages undergraduate and graduate students to participate in Climate Hack.AI, an international competition among 25 top universities in the United States, Canada and the United Kingdom.

The goal of the competition is to use machine learning methods to develop the best predictive algorithm to…

Princeton Talks: Brandon M. Stewart on Text as Data
Feb. 10, 2022

In this recorded talk, Brandon M. Stewart introduces us to the interdisciplinary field known as: Text as Data. The study of human behavior is changing. In the last two decades, there has been an avalanche of new data: emails, tweets, Reddit posts, press releases and written books have all exploded. Social scientists realize they have a new…

Ryan Adams is working to improve manufacturing robots
Feb. 9, 2022
Written by John Sullivan

Manufacturing robots are a modern wonder, building everything from packaged food to microchips.

Ryan Adams, a professor of computer science, agrees that these machines are the foundation of the modern economy, but he thinks there is a lot of room for improvement.

Empowering young AI researchers, and advancing robots’ powers of perception
Feb. 7, 2022
Written by Molly Sharlach, Office of Engineering Communications

Olga Russakovsky’s Princeton Visual AI Lab develops artificial intelligence (AI) systems with new capabilities in computer vision, including automated object detection and image captioning.

Her team also creates tools to identify and mitigate biases in AI systems, and promote fairness and transparency.

CSML sponsors Wintersession workshops on blockchain, cryptocurrency and Python computing
Feb. 4, 2022
Written by Sharon Adarlo

If you want to wrap your mind around the concept of blockchain and cryptocurrency, you should look at the history and usage of the “rai stone,” according to Pranay Anchuri, data scientist at Princeton University.

In the Micronesia area of the Pacific Ocean, above Australia and Papua New Guinea, there is the tropical island Yap where…

Short Course Reveals Research Possibilities for Machine Learning
Feb. 2, 2022
Written by Sharon Adarlo

The application of machine learning is growing across multiple disciplines, from astrophysics to politics. At first, it can seem challenging to know where to start or how to use machine learning if you have no prior background in the area.

To address this issue, the Center for Statistics and Machine Learning (CSML) held a three-hour…

People Profile: Waheed U. Bajwa builds algorithms for signal processing issues
Jan. 12, 2022
Written by Sharon Adarlo

Waheed U. Bajwa’s research is at the intersection of statistics, machine learning and signal processing. The latter discipline is an engineering subfield that concerns itself with analyzing or processing images, sound and other data.

Humanities Data Teaching Fellows on SML 201
Jan. 3, 2022

Interview features three current Humanities Data Teaching Fellows—Akrish Adhikari (G4, French and Italian), Gyoonho Kong (G5, German), and Daniel Persia (G2, Spanish and Portuguese)—about their expectations for the fellowship, which included working with the Center for Digital Humanities and the Center for Statistics and Machine Learning to develop modules for the undergraduate course “Introduction to Data Science” (SML 201).