Wyant College of Optical Sciences Faculty Early Career Awards
Faculty: Travis Sawyer
Sponsor: NSF
Years Active: 2026-2031
Abstract: Label-free biomedical optical imaging (LBI) is a technology used to study tissues by measuring interactions between tissue and light. This CAREER project will link biological activity to the signals detected by LBI. The goal is to determine how biological changes, such as changes in how genes are expressed, affect the way light interacts with tissue. The research will create new artificial intelligence (AI) methods to map the relationship between gene activity and LBI. The results could lead to better tools for diagnosing disease, studying tissue health, and improving pathology. In addition, the project includes a strong educational plan to prepare future leaders in bioengineering and AI. New learning activities will be created for students and the public that combine biology and AI. These activities will be designed to improve public understanding of AI and prepare students for modern science and technology careers. Overall, this project supports national interests by advancing leadership in biotechnology, optics, and AI.
A major knowledge gap exists in understanding how high-level biological changes influence interaction between light and tissue. The goal of this CAREER project is to establish a clear, measurable relationship between changes in gene networks and contrast observed in LBI. The research will measure tissue-wide gene expression patterns and determine how these patterns influence optical properties such as tissue fluorescence. First, the project will define how alterations in gene networks correspond to changes in LBI contrast across tissues. Second, new LBI image features and feature extraction algorithms will be developed to better represent transcriptomic signatures. Third, the relationship between gene expression and LBI will be incorporated into novel AI models to digitally analyze and classify tissues without chemical assays. This framework will help improve interpretation of optical imaging data and develop novel applications of AI in biotechnology. The project will advance biomedical imaging and AI by enabling rapid, non-destructive estimation of gene network activity and by establishing a general framework that can be extended to other optical methods and biological systems.
Faculty: Kanu Sinha
Sponsor: DOE
Years Active: 2025-2030
Abstract: This project is focused on foundational Quantum Information Science research involving the creation of macroscopic quantum states and the study of thermodynamics at microscopic scales. These efforts address essential scientific questions about the limits of quantum coherence and control, which are central to advancing quantum technologies and understanding how quantum principles govern physical systems at macroscopic scales.
The research will use optically levitated nanoparticles, tiny dielectric spheres held in place by laser light, as a building block to create collections of correlated quantum particles. These systems offer exceptional isolation from the environment and access to both mechanical and optical degrees of freedom, making them well suited for exploring quantum effects. The project will develop new techniques for coherent quantum control of multiple particles by combining laser trapping, structured light-matter interactions, and real-time quantum measurement and feedback. This approach, particularly coupling multiple particles to a common light field confined in an optical cavity, will enable the investigation of many-body quantum dynamics and the behavior of energy and information flow in regimes where classical thermodynamics no longer applies.
The work is expected to generate new insights into quantum correlations, coherence, and thermodynamics in engineered nanoscale systems. These results will contribute directly to the scientific foundation needed for controlling complex quantum systems and designing more robust quantum devices.
In the long term, this research may lead to the development of new types of energy-efficient quantum technologies that operate by harnessing macroscopic quantum effects.
Faculty: Kyle Seyler
Sponsor: AFOSR
Years Active: 2025-2028
The objective of this research project is to investigate the spatiotemporal dynamics of domain walls driven by ultrafast laser light in two-dimensional (2D) antiferromagnets. Layered van der Waals antiferromagnets have been intensely studied over the last few years to understand magnetic ordering, spin dynamics, spin-charge-lattice coupling, and magnetic manipulation strategies in the 2D limit. However, there is a lack of fundamental understanding of 2D antiferromagnetic domain walls, especially their control both in and out of equilibrium. Active manipulation of spin textures such as domain walls is at the vanguard of antiferromagnetic spintronics research and a promising route to realize faster and more efficient logic, data processing, and memory devices. Thus, systematic studies of antiferromagnetic domain walls in new, highly tunable material platforms with novel manipulation schemes are critical. Here we propose combining equilibrium tuning knobs and ultrafast magnon excitation schemes to investigate the nonequilibrium behavior of domain walls in different types of 2D antiferromagnets. We will use linear and nonlinear optical imaging to detect the domain walls and investigate their thermal, doping, and electric field stability and spatial control. Concurrently, we will measure the effect of these parameters on ultrafast magnon generation using time-resolved nonlinear optical spectroscopy. With these newly developed controls, we will isolate and trap single antiferromagnetic domain walls and measure their spatiotemporal response to ultrafast magnon excitations. We will further demonstrate the ability to position multiple domain walls next to each other and investigate their collisional dynamics after ultrafast excitation. Our work will advance our understanding of antiferromagnetic domain wall physics, 2D spin dynamics, and magnon-spin texture interactions, revealing new approaches for precise, high-speed control of domain walls.
Faculty: Kyle Seyler
Sponsor: DOE
Years Active: 2024-2029
Faculty: Meredith Kupinski
Sponsor: NSF
Years Active: 2024-2029
Faculty: Dalziel Wilson
Sponsor: NSF
Years Active: 2023-2028
Faculty: Judith Su
Sponsor: NSF
Years Active: 2023-2027
Faculty: Brandon Chalifoux
Sponsor: NASA
Years Active: 2022-2026
Next generation space telescopes and instruments, such as those needed to directly image Earth-like planets orbiting Sun-like stars, increasingly rely on extreme dimensional stability. The stability of a space structure is directly tied to its constituent materials’ coefficient of thermal expansion (CTE), elastic modulus, and creep rate. This research focuses on designing, building, and testing high-modulus composite materials whose CTE can be precisely and permanently adjusted after fabrication. Ultrafast lasers are used to bond composite layers together, and to tune the CTE by adjusting the layers’ stiffnesses. Ultra-stable composites may provide the extreme stability needed for future large space missions and reduce complexity of other systems such as thermal control.
Faculty: Euan McLeod
Sponsor: NSF
Years Active: 2021-2026
Faculty: Jason R. Jones
Sponsor: NSF
Years Active: 2007-2012
Faculty: Hong Hua
Sponsor: NSF
Years Active: 2007-2013
Faculty: Brian Anderson
Sponsor: ARO/ DOD PECASE
Years Active: 2003-2008