The Moore Bone Lab utilizes novel investigative tools to understand how bones and teeth develop, grow, maintain, and repair. Our goal is to inspire treatments that form mineralized tissue when and where it is needed in patients of all ages. Our approaches involve characterizing cell-intrinsic behavior and tissue niche factors that influence stem/progenitor cell activity, with emphasis on mechanotransduction and cell signaling pathways.

Research at the MIND lab seeks to understand the networks of brain structure and function that enable musical processes: auditory and multisensory perception, learning and memory of sound structure, sound production, and the human aesthetic and emotional response to sensory stimuli. Tools for this research include human electrophysiology, structural and functional neuroimaging, noninvasive brain stimulation, and psychophysical and cognitive experiments.

The Social Urban Networks (SUN) Lab research lies in the intersection of big data and computational social science, with special attention to human dynamics, collective intelligence, social networks and urban mobility in problems like viral marketing, natural disaster management, or economical segregation in cities.

The Machine Intelligence Group for the betterment of Health and the Environment (MIGHTE) works on the the conception and implementation of machine learning analytics tools aimed at characterizing the dynamics of complex systems to anticipate and predict unobserved events in epidemiology, healthcare, and environmental sciences.

Work at the Complexity & Society Lab, or the “And Lab”, is centered around theoretical and methodological advances in Complex Systems science, with focus areas in network dynamics, learning and inference, network generative models of AI architectures, and graph comparison.

The Climate Dynamics Lab investigates the causes and impacts of changes in oceanic and atmospheric circulation and climate variability, both past and future, with the goal to improve quantitative understanding of the physical processes driving climate dynamics across time scales. They take an interdisciplinary approach that integrates climate modeling, isotope-enabled simulations, statistical and machine learning methods, and observational and paleoclimate data.

The Water Resources Ecohydrology Lab (WRElab) seeks to help better manage watersheds for the good of both people and nature in a shifting climate. To do so, we build new understanding of how watersheds function as systems, with interactions among meteorological forcing, geologic setting, and ecological process, and how these systems affect critical water resources.

The Wang Lab develops mammalian synthetic biology tools to advance anti-cancer cellular therapy, regenerative medicine, and microfluidic human organ models.

The Davidi lab investigates stress adaptation mechanisms in extremophilic algae to develop solutions for global food security and ecosystem health by understanding and enhancing resilience in photosynthetic organisms.