Data scientists Brain Arnold and Jose Garrido Torres, supported by the Schmidt DataX Initiative, are featured in a new series of videos talking about their role and impact in research with Princeton University scholars.

Olga Russakovsky's project is “Toward complete interpretability of computer vision models." Chi Jin's project is “Demystifying partial observability in reinforcement learning" and Bartolomeo Stellato's project is “Learning task-specific optimizers for real-time autonomous systems.” All three are CSML-affiliated faculty. Peter Ramadge, the director of CSML, received funds for his project “Using machine learning to model and analyze human language and communication." More details in the article.

On the CSML undergraduate certificate, Eugene Tang said the curriculum gave him a solid foundation to learn more complex topics. “The field of machine learning has been changing so rapidly. What was the state-of-the-art when I was in college is no longer the case. And with the certificate curriculum laying an excellent foundation, that's helped me quickly pick up the new stuff,” he said.

The US Research Software Engineer Association (US-RSE) is set to hold its first face-to-face workshop on April 26th and 27th. Held at Princeton University and sponsored by the Alfred P. Sloan Foundation, the US-RSE Community Building Workshop will bring together research software engineers from universities, industry, and research laboratories across the country, plus a few more from abroad, to chart a path forward for the swiftly expanding group.