My research lies at the intersection of optics, computation, and biology. I focus on developing methods that extract maximum information from microscopy data.
Developing advanced algorithms for localizing individual fluorescent molecules with nanometer precision. My work on SMLM spans localization algorithms, drift correction (NP-Cloud), and PSF modeling for super-resolution imaging beyond the diffraction limit.
Applying super-resolution concepts to ultrasound imaging for visualization of microvasculature and blood flow at unprecedented resolution.
Leveraging neural networks for image reconstruction, denoising, segmentation, and super-resolution in microscopy.
Modeling and engineering point spread functions for 3D localization, including scalar and vectorial models.
Quantitative analysis tools for microscopy: velocimetry, segmentation, and statistical methods.
I believe in open science. Here are some of my notable repositories and tools available on GitHub.
Python implementation of NP-Cloud drift correction for SMLM. A robust computational method for correcting sample drift using nanoparticle fiducial markers.
Image segmentation tools and algorithms for microscopy data analysis.
PythonCurated datasets for microscopy research and algorithm benchmarking.
DataOPUS-PALA & LOTUS tools for ultrasound localization microscopy.
MATLABSMLM benchmark datasets for AI research, training, and education.
BenchmarkImage restoration toolbox: EDSR, ESRGAN, SwinIR and more.
PythonMicroscope Point Spread Function Calculator in Julia.
JuliaDeveloping novel algorithms for super-resolution microscopy, drift correction, and deep learning approaches for biomedical imaging.
Active contributor to open source projects in microscopy and image processing. Maintainer of npcloud-python and related tools.
Full CV available upon request.
Request CVI'm always interested in research collaborations, discussing new ideas in computational imaging, or opportunities in microscopy and deep learning.
Don't hesitate to reach out — whether you have a question about my work, want to collaborate, or just want to say hello.