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The Goergen Institute for Data Science (GIDS) announced seed funding awards for seven collaborative projects for the 2023-2024 year. The goal is to support projects that could eventually attract major external funding, with a particular focus on work aligned with data science research priorities.

As always, the projects showcase an exciting array of interdisciplinary work. This year’s principal investigators and project titles include:

• , associate professor of biostatistics: Estimation of Cancer-Relevant Gene Regulatory Networks from Perturb-Seq Data
• , assistant professor of computer science: Energy and Carbon Footprint Modeling of Visual Computing Systems
• , associate professor of electrical and computer engineering and computer science: Language Guided Audio Source Separation
• , professor of optics, and , professor of dermatology, biochemistry and biophysics, biomedical engineering, and optics: Enhancement of Sensitivity and Yield in Integrated Optical Biosensing by Machine Learning
• , professor of electrical engineering and computer science, and , assistant professor of electrical engineering and computer science: Nature-Based Dynamical Systems for Energy-Efficient Neural Rendering
• , assistant professor of computer science, and Daniel Stefankovic, professor of computer science: Investigating the Power of Partial Learning vs Total Learning
• , assistant professor of computer science and data science, and Nikhil Garg (Cornell Tech): Fairer and More Accurate Large Language Models via Social Choice and Crowdsourcing

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