Research

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Nanophotonic imaging

end_to_end

Mentors and collaborators: Gaurav Arya, Charles Roques-Carmes, Zin Lin, Steven G. Johnson, 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. 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. Patent Application 18/701,792. May 2025.
  2. 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)
  3. 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)
  4. Li WF, Roques-Carmes C, Lin Z, Johnson SG, Soljačić M. X-ray Spectroscopy With End-to-End Optimized Nanophotonic Scintillators. Talk presented at: Conference on Lasers and Electro-Optics; May 2023; San Jose, CA. (PDF)
  5. 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. Talk presented at: MIT PRISM Undergraduate Physics Conference; September 2, 2022; Cambridge, MA.
  6. Li WF, Arya G, Roques-Carmes C, Lin Z, Johnson SG, Soljačić M. Angular and Spectral Sparse Sensing With End-to-End Optimized Nanophotonics. Talk presented at: Conference on Lasers and Electro-Optics; May 2022; San Jose, CA. (PDF)
  7. 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. Talk presented at: Conference on Lasers and Electro-Optics; May 2022; San Jose, CA. (PDF)

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Alzheimer’s disease genomics

alzheimer

Mentors and collaborators: Yosuke Tanigawa, David A. Bennett, Manolis Kellis

We use computational approaches to understand 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. Liu Z, Zhang S, James BT, Galani K, Mangan RJ, Fass SB, Liang C, Wagle MM, Boix CA, Tanigawa Y, Yun S, Sung Y, Xiong X, Sun N, Hou L, Wohlwend M, Qiu M, Han X, Xiong L, Preka E, Huang L, Li WF, Ho LL, Grayson A, Mantero J, Kozlenkov A, Mathys H, Chen T, Dracheva S, Bennett DA, Tsai LH, Kellis M. Single-cell multiregion epigenomic rewiring in Alzheimer’s disease progression and cognitive resilience. Cell. 2025.
  2. Tian X, Fabiha T, Li WF, Dey KK, Kellis M, Tanigawa Y. Integrative polygenic score modeling with tissue-specific annotation improves polygenic scores transferability. Talk presented at: American Society of Human Genetics; November 2024; Denver, Colorado. (PDF)
  3. 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. Talk presented at: Alzheimer’s Association International Conference; July 2023; Amsterdam, Netherlands. (PDF)
  4. 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)
  5. 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. Talk presented at: Society for Neuroscience; November 2022; Washington, DC. (PDF)

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