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 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.