Mallick Lab

~ translating multi-omic discovery into precision diagnostics ~
meaningful AI
meaningful AI

building new approaches to AI that require less input data and generate more accurate explanations

integrated omics

approaches to rationally integrate diverse types of high-throughput data.

multi-scale models

modeling the non-linear, multi-scale processes that govern how cells behave and misbehave.

biomarker discovery

understanding the processes that give rise to biomarkers and govern their potential utility.

tumor evolution

characterizing how evolutionary forces (e.g. microenvironment, or drug treatment) impact tumor composition.

proteomics technology

experimental and computational approaches to improve the throughput and sensitivity of proteomics technologies

proteoWizard

a platform to accelerate the development of proteomics analysis tools.

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meaningful AI meaningful AI
integrated omics integrated omics
multi-scale models multi-scale models
biomarker discovery biomarker discovery
tumor evolution tumor evolution
proteomics technology proteomics technology
proteoWizard proteoWizard
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overview

The Mallick lab focuses on translating multi-omic discovery into precision diagnostics. We use integrative, multi-omic approaches to model the processes that govern proteome dynamics and then use those models to discover cancer biomarkers and mechanisms.

 

 

Canary Center @ Stanford

news

check out our latest papers on

- ProteoWizard (Nature Biotech)

- Cell Squishyness & Sliminess & Metastatic Potential (PNAS)

Drug Resistance as Mediated by Epigenetics (Genome Medicine)

- SWATH MS Libraries (Nature Protocols)

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