Where science meets ‘eureka!’

Supercharge your research: Turn ‘what if?’ into ‘what’s next?’

Projects

PANDORA

software suite with advanced machine learning techniques for  omics data analysis.

GENULAR

Comprehensive archive with vital genetic and cellular information. Envisioned as an expansive databank

IMMUNAUT

Unsupervised machine learning to predict outcomes based on baseline features

FLUPRINT

unified database for a large-scale study exploring novel cellular and molecular underpinnings of successful immunity to influenza vaccines

MULSET

Process inconsistent datasets with numerous missing values to rapidly identify multi-set intersections across large matrices

FACS

Facilitates conversion of percentages to absolute cell numbers.

DATAGRAM

Neural net library, leverages the n-grams method to automatically classify and recognize entities

CSIS-DS

Computational Systems Immunology Standardized Data Schema

SIMON

Sequential Iterative Modeling “OverNight” machine learning system particularly suitable for datasets containing many missing values

Why system level approach?!

Unlocking system-level insights in human immunology

It’s all about seeing the bigger picture. By understanding how different parts of the immune system interact and influence each other, we can make more comprehensive discoveries and potentially develop more effective treatments.

FEATURED PROJECT

PANDORA

PANDORA

PANDORA is an advanced software suite that harnesses machine learning techniques like clustering, t-SNE, PCA, UMAP, and interpretable models to boost biomedical research. It excels in predictive modeling, biomarker discovery, and omics data analysis, crucial for comprehensive systems biology studies.