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 chemistry – We explore new ways of acquiring, processing, and mining the massive (multi-terabyte) datasets that imaging mass spectrometry and other molecular imaging modalities deliver;
- Life Sciences – As 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;
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Research
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.
People
An overview of our current group members, and alumni of our lab.
Publications
A shortlist of our recent work & a full overview of our scientific output.
Vacancies
Come work with us. We are hiring!
Teaching
A summary of the teaching activities our lab is active in.
Student Projects
A summary of the student projects currently offered by our lab.
Contact
Where to reach us: lab address and contact details.
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