Research

Skip to: Alzheimer’s Disease Genomics - Nanophotonic Imaging

Alzheimer’s Disease Genetics

alzheimer

Mentors and Collaborators: Dr. Yosuke Tanigawa, Prof. David A. Bennett, Prof. Manolis Kellis

We use statistical genetics and genomics to dissect Alzheimer’s disease heterogeneity. My work focuses on mapping the genetic basis of Alzheimer’s disease heterogeneity through polygenic score association.

Publications and Abstracts

  1. Tanigawa Y, Sun N, Li WF, Boix CA, Galani K, Mathys H, Bennett DA, Tsai LH, Kellis M. Multi-polygenic score model informs the genetic basis of heterogeneity in Alzheimer’s disease. Abstract presented at: Alzheimer’s Association International Conference; July 2023; Amsterdam, Netherlands. (PDF)
  2. Li WF, Tanigawa Y, Kellis M. Polygenic dissection of phenotypic heterogeneity in Alzheimer’s disease. Poster presented at: Broad Institute Scientific Retreat; December 2022; Boston, MA. (PDF)
  3. Tanigawa Y, Sun N, Li WF, von Maydell D, Boix CA, Akay LA, Galani K, Mathys H, Bennett DA, Tsai LH, Kellis M. Single-cell transcriptional hallmarks and individual subtyping for Alzheimer’s Disease across 430 participants. Abstract presented at: Society for Neuroscience; November 2022; Washington, DC. (PDF)

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Nanophotonic Imaging

end_to_end

Mentors and Collaborators: Gaurav Arya, Dr. Charles Roques-Carmes, Prof. Zin Lin, Prof. Steven G. Johnson, Prof. Marin Soljačić

We design structures at the nanoscale to control light for optical and x-ray imaging. We work in an end-to-end framework, inverse-designing nanophotonic structures in conjunction with an image reconstruction algorithm. I design these structures to replace or enhance traditional imaging components, such as lenses in optical imaging and scintillators in x-ray imaging.

Publications and Abstracts

  1. Arya G, Li WF, Roques-Carmes C, Soljačić M, Johnson SG, Lin Z. End-to-end Optimization of Metasurfaces for Imaging with Compressed Sensing. ACS Photonics. 2024;11(5):2077-2087. (PDF)
  2. Li WF, Arya G, Roques-Carmes C, Lin Z, Johnson SG, Soljačić M. Transcending shift-invariance in the paraxial regime via end-to-end inverse design of freeform nanophotonics. Optics Express. 2023;31(15):24260-24272. Editors’ Pick. (PDF)
  3. Li WF, Roques-Carmes C, Lin Z, Johnson SG, Soljačić M. X-ray Spectroscopy With End-to-End Optimized Nanophotonic Scintillators. Extended abstract presented at: Conference of Lasers and Electro-Optics; May 2023; San Jose, CA. (PDF)
  4. Li WF, Arya G, Roques-Carmes C, Lin Z, Johnson SG, Soljačić M. Angular and Spectral Sparse Sensing With End-to-End Optimized Nanophotonics. Extended abstract presented at: Conference of Lasers and Electro-Optics; May 2022; San Jose, CA. (PDF)
  5. Lin Z, Arya G, Li WF, Roques-Carmes C, Pestourie R, Li Z, Capasso F, Soljačić M, Johnson SG. End-to-end Nanophotonics Inverse Design for Computational Imaging. Extended abstract presented at: Conference of Lasers and Electro-Optics; May 2022; San Jose, CA. (PDF)
  6. Soljačić M, Roques-Carmes C, Rivera N, Lin Z, Li WF, inventors; Massachusetts Institute of Technology, assignee. Nanophotonic Scintillators for High-Energy Particles Detection, Imaging, and Spectroscopy. U.S. Provisional Application 63/257,611. October 2021.

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