Labs

Frist Center for Autism & Innovation Engineering technologies and transforming the workplace — inspired by neurodiversity Director: Keivan Stassun http://vu.edu/autismandinnovation/ The Frist Center for Autism and Innovation at the Vanderbilt University School of Engineering brings together leading engineers, business scholars, academic researchers, and experts in educational… Read More

Network and Data Science (NDS) Lab Developing novel data science techniques and their applications for social good. Director: Tyler Derr https://my.vanderbilt.edu/NDS ​The Network and Data Science (NDS) Lab advances research in data mining and machine learning, focusing on data-centric, responsible, and trustworthy AI, deep learning on graphs, and… Read More

Rubinov Lab Integration of neuroscientific knowledge. Director: Mikail Rubinov https://www.rubinovlab.net/ ​The Rubinov Lab analyzes and models brain networks across species and scales. We are broadly interested in: ​​Integrative models of large-scale neural data; Transcriptomic basis of neural individuality; Characterization of complex neural systems; Neuropsychiatric connectivity phenotypes. Read More

Yan Lab Advancing the frontiers of MRI and RF technology to enhance imaging precision and diagnostic capabilities. Director: Xinqiang Yan https://xinqiangyan.github.io/portfolio/ Yan Lab focuses on developing innovative engineering solutions for technical challenges in magnetic resonance imaging (MRI) and MRI-guided therapies. The lab’s key research areas include improving RF… Read More

Machine Intelligence and Neural Technologies (MINT) The MINT Lab pioneers next-generation AI through rigorous mathematical and geometric deep learning, addressing limitations in sample/label efficiency, explainability, brittleness, knowledge compression, and lifelong learning. Director: Soheil Kolouri   The MINT lab focuses on developing next-generation AI models that are sample-efficient, generalizable, robust,… Read More

Vanderbilt Dermatology Translational Research Clinic (VDTRC) Making skin measurements for clinical impact Director: Eric Tkaczyk https://vdtrc.org/ RESEARCH. Currently, my team focuses on three externally funded directions: 1. Erythema analysis by artificial intelligence (AI). We have developed AI technology to measure skin erythema quickly and reproducibly using photographs. This… Read More

Mixed Intelligence Development for Programming Lab (MIND Lab) Leverage human and machine intelligence to empower automation for programming Director: Yu Huang https://yuhuang-lab.github.io/ My lab focuses on human factors and human-centered AI for software engineering, including user cognition, sustainability for open source software, AI for software engineering, and computer… Read More

Spatial Analysis Research Laboratory (SARL) SARL pursues insights into human social dynamics over a range of spatial and temporal scales through advanced geospatial modeling and analysis.  Director: Steven Wernke https://wernkelab.org SARL pushes frontiers in geospatial modeling and analysis, including large scale satellite and aerial imagery remote sensing, AI-assisted… Read More

Lau Lab (KenLauLab) Data-driven machine learning approaches to obtain a systems biology view of how environmental components and epithelial cells interact as an ecosystem to generate tissue architecture and function Director: Ken Lau https://kenlaulab.org/ My laboratory is dedicated to tackling questions encompassing epithelial cell plasticity and the maturation… Read More

Vision Information Neuroimaging Engineering (VINE Lab) Increasing understanding of the human brain by advancing functional neuroimaging methodology Director: Daniel Moyer https://vine-lab.notion.site/ The VINE lab focuses on machine learning and vision methods for medical imaging. We work both on theory and translation. Read More