Jeffrey Alido

I am a final-year Ph.D. candidate in Electrical and Computer Engineering at Boston University, advised by Professor Lei Tian in the Computational Imaging Systems Lab. My research lies at the intersection of computational imaging, signal processing, and generative modeling. I have completed research internships at insitro and Google. I received my B.S. from UC San Diego and am a recipient of the NSF Graduate Research Fellowship.

Email  /  Google Scholar  /  GitHub

Jeffrey Alido - PhD Candidate at Boston University

Research
Whitened Score Diffusion model results
Whitened Score Diffusion by Jeffrey Alido
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
Jeffrey Alido, Tongyu Li, Yu Sun, Lei Tian
arXiv, 2025
arXiv / code

We propose Whitened Score diffusion models that learn the Whitened Score function instead of the standard score, enabling stable training on arbitrary Gaussian forward noising processes and providing strong Bayesian priors for imaging inverse problems with structured noise.

Imaging through scattering media - Jeffrey Alido research Behind the Blurry Background: Practical Synthetic Features To Enable Robust Imaging Through Scattering
Jeffrey Alido, J. Greene, Y. Xue, G. Hu, Y. Li, M. Gilmore, Lei Tian
CVPR 2024: Computational Cameras and Displays Workshop, 2024

Practical synthetic features enable robust imaging through scattering media by addressing the blurry background problem in computational imaging applications.

3D fluorescence imaging neural network by Jeffrey Alido Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural network
Jeffrey Alido, J. Greene, Y. Xue, G. Hu, Y. Li, M. Gilmore, K. J. Monk, B. T. DiBenedictis, I. G. Davison, Lei Tian
Optics Express, 2024
paper / supplementary / code

A simulator-trained neural network enables robust single-shot 3D fluorescence imaging in scattering media.

HiLo Microscopy with Caustic Illumination
G. Hu, J. Greene, J. Zhu, Q. Yang, Y. Li, Jeffrey Alido, R. Guo, Lei Tian
Biomedical Optics Express, 2024
paper / supplementary

HiLo microscopy enhanced with caustic illumination for improved optical sectioning.

EDoF-Miniscope: pupil engineering for extended depth-of-field imaging in a fluorescence Miniscope
J. Greene, Y. Xue, Jeffrey Alido, G. Hu, Y. Li, Lei Tian
Neurophotonics, 2023
paper

Pupil engineering enables extended depth-of-field imaging in fluorescence miniscopes for improved neural imaging.

Compensating the cell-induced light scattering effect in light-based bioprinting using deep learning
J. Guan, S. You, Y. Xiang, J. Schimelman, Jeffrey Alido, X. Ma, M. Tang, S. Chen
Biofabrication, 2021
paper

Deep learning compensates for cell-induced light scattering effects in light-based bioprinting applications.

Mitigating Scattering Effects in Light-Based Three-Dimensional Printing Using Machine Learning
S. You, J. Guan, Jeffrey Alido, H. H. Hwang, R. Yu, L. Kwe, H. Su, S. Chen
ASME Journal of Manufacturing Science and Engineering, 2020
paper

Machine learning techniques mitigate scattering effects in light-based three-dimensional printing processes.

Service & Teaching

 Peer Reviewer: NeurIPS (2024), Optics Letters (2022-present), Optics Express (2022-present)
Teaching Assistant: Computational Linear Algebra (2023, undergrad), Computational Imaging (2022, grad), Stochastic Processes (2021, grad)

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