David Bamman, Electrical Engineering and Computer Science, Representation Learning for the Discovery of Musical Influence
Professor Bamman works on applying natural language processing and machine learning to empirical questions in the humanities and social sciences. In his Hellman-funded work, he plans to develop computational methods to uncover the layers of history in songs, reasoning about their content—both their musical structure and the text of their lyrics—in order to discover patterns of influence and allusion.
Courtney Dressing, Astronomy,
Characterizing Planetary Systems Orbiting Nearby Stars
Professor Dressing is an observational astronomer focused on detecting and characterizing planetary systems orbiting nearby stars. Her Hellman-funded research will set the foundations for future detections of life as well as advance understanding of how planetary systems form and evolve over time by investigating the properties of nearby planets.
Asma Kazmi
David Limmer, Chemistry, Path Integral Molecular Dynamics Simulations of Hybrid Halide Perovskites
Rikky Muller, Electrical Engineering and Computer Sciences, Networks of Neural Dust
Jason Okonofua, Psychology, Empathic Discipline & Respect in K-12 Schooling
Simon Schleicher, Architecture, Robotic Fabrication and Construction in Architecture
Anna Livia Brand, Landscape Architecture & Environmental Planning, Claiborne on the Verge: The Black Mecca in 21st Century America
Rebecca Herman, History, Antarctica, Latin America, and the Global South
Britt Koskella, Integrative Biology, The Impact of Agriculture on Microbiome-mediated Protection Against Pathogens
Jonas Meckling, Environmental Science, Policy, and Management, The Politics of Innovation: The Durability and Growth of Low-carbon RD&D Policy
Yi-Ren Ng, Electrical Engineering and Computer Science, Oz Vision: New Principles for Color Display, and An Experimental Platform for Neuroscience
Caitlin Rosenthal, History, The Business of Business Education
Daniel Stolper, Earth and Planetary Science, The Past as the Key to Our Warm Future: Using the Rock Record to Predict Climate Change