News

CSML sponsors Wintersession workshops on blockchain, cryptocurrency and Python computing
Feb. 4, 2022
Author
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
Author
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
Author
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).

Mona Singh is tailoring tools to crack the cancer code
Dec. 15, 2021
Author
Written by Jeff Labrecque
When Mona Singh was in high school, she spent two summers conducting research in an immunology lab at the nearby University of Alabama at Birmingham. Singh was an excellent student, and her family hoped she would follow in her father’s footsteps and become a medical doctor. She was interested in the questions of biology and medicine that the lab pursued, but her heart wasn’t in it. Deep down, she wanted to become a math professor — not a doctor. “To be honest, I don’t know if I understood what being a math professor really meant,” she said. “I just knew I liked math.”
Faculty Profile: Amit Singer creates algorithms and reconstructs 3D images of molecules
Nov. 29, 2021
Author
Written by Sharon Adarlo

Singer’s research is divided into two main components: one - developing algorithms and advanced computational methods to analyze data, and two – using these tools to determine the three-dimensional structures of molecules. “The first component is more theoretical and foundational. I develop algorithms and do mathematical analysis of existing and new algorithms to analyze data. This data can be quite complex with very high dimensionality. This is data with a large amount of noise or the data set can be quite large. So, my lab members and I come up with solutions or tools to process and analyze this data. Such contextualization programing is one part of my research,” he said.

SML 201 reaches peak enrollment with Daisy Yan Huang and Ricardo Masini as co-lecturers
Nov. 24, 2021
Author
Written by Sharon Adarlo

With a return to campus this fall, the Center for Statistics and Machine Learning’s flagship undergraduate course, SML 201: Introduction to Data Science, opened its enrollment to more than 150 students, the highest in its history and…

DataX is funding new AI research projects at Princeton, across disciplines
Nov. 19, 2021
Author
Written by Sharon Adarlo
Ten interdisciplinary research projects have won funding from Princeton University’s Schmidt DataX Fund, with the goal of spreading and deepening the use of artificial intelligence and machine learning across campus to accelerate discovery. The 10 faculty projects, supported through a major gift from the Schmidt Futures Foundation, involve 19 researchers and several departments and programs, from computer science to politics. The projects explore a variety of subjects, including an analysis of how money and politics interact, discovering and developing new materials exhibiting quantum properties, and advancing natural language processing.
Special Python workshop teaches scientists to make software for wider research community
Nov. 10, 2021
Author
Written by Sharon Adarlo

Many researchers at Princeton University and elsewhere develop their own software programs to help them elucidate complex processes and solve interesting problems, from biomedicine to water management. But when it comes to making the code available to the wider research community, these prototype programs need to make a…

Interdisciplinary Data Science Faculty Positions
Nov. 2, 2021

As part of a major new initiative in interdisciplinary data science, Princeton University is undertaking a search for faculty members at all academic ranks across all areas of science, engineering, social science, and humanities. This initiative will involve multiple faculty hires over the next several years.  We are particularly interested in…