Professor Vikas Singh and Assistant Professor Daniel Pimentel-Alarcon are two of the nine recipients of funding awarded through the fourth American Family Funding Initiative of the American Family Insurance Data Science Institute. This competitive initiative has provided 27 researchers and teams with nearly $4 million for their work and is expected to help faculty launch and expand their data science research.
Professor Singh’s project is titled “Doing More with Linear Transformers,” with a focus on ultra-long temporal/spatio-temporal sequences and the key challenges to allowing efficient training and deployment of transformer models.
Assistant Professor Daniel Pimentel-Alarcon, with Professors Jeff Linderoth and Jim Luedtke of the Department of Industrial and Systems Engineering, won funding for a study titled, “Optimal Features for Heterogeneous Matrix Completion.” This study focuses on developing a model and algorithms specifically tailed to complete matrices with heterogeneous data.
Congratulations to both for winning these awards!