Computational focus of the lab

  • Mathematical analysis of spectral imaging systems (e.g. imaging mass spectrometry, CODEX microscopy);
  • Novel signal processing methods, machine learning approaches, and efficient algorithms to explore and analyze extremely large and high-dimensional imaging data; and
  • Multi-modal integration and data-driven fusion between imaging technologies.

Application areas

  • Analytical chemistryWe explore new ways of acquiring, processing, and mining the massive (multi-terabyte) datasets that imaging mass spectrometry and other molecular imaging modalities deliver;
  • Life SciencesAs member of the U.S. National Institutes of Health’s Human BioMolecular Atlas Program (HuBMAP) and associated member of the European Union’s Human Brain Project Flagship, our lab is helping to build 3-D molecular atlases of several human organs, and seeking to decipher the spatiotemporal cellular diversity in the human kidney, eye, pancreas, and brain;

Our research lies at the interface between (i) mathematical engineering and machine learning; (ii) physical instrumentation and analytical chemistry; and (iii) application domains such as life sciences and medicine.

Projects & Collaborations

Our lab has a strong international network of academic and industry collaborators, and several ongoing multidisciplinary research projects.

Tools & Code

Tools and source code from our projects and publications.


An overview of our current group members, and alumni of our lab.


A shortlist of our recent work & a full overview of our scientific output.


Come work with us. We are hiring!


A summary of the teaching activities our lab is active in.

Student Projects

A summary of the student projects currently offered by our lab. (Coming soon.)


Where to reach us: lab address and contact details.

Member of

Associate Member of