dp - [d]ata scientist in [p]harma

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1 Posts

Bioinformatics

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Identification of multi-omics biomarkers of preeclampsia
Research RNASeq Bioinformatics

Identification of multi-omics biomarkers of preeclampsia

Daniel Pham
1 Posts

Biopharma

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A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development
Research Publication Biopharma Machine Learning

A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development

Daniel Pham
2 Posts

Machine Learning

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A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development
Research Publication Biopharma Machine Learning

A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development

Daniel Pham
Exploring Yellow Taxi Profitability in NYC - A Spatio-Temporal Analysis
Visualisation Machine Learning

Exploring Yellow Taxi Profitability in NYC - A Spatio-Temporal Analysis

Daniel Pham
1 Posts

RNASeq

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Identification of multi-omics biomarkers of preeclampsia
Research RNASeq Bioinformatics

Identification of multi-omics biomarkers of preeclampsia

Daniel Pham
1 Posts

Research

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Identification of multi-omics biomarkers of preeclampsia
Research RNASeq Bioinformatics

Identification of multi-omics biomarkers of preeclampsia

Daniel Pham
1 Posts

Research Publication

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A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development
Research Publication Biopharma Machine Learning

A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development

Daniel Pham
1 Posts

Visualisation

Return to top
Exploring Yellow Taxi Profitability in NYC - A Spatio-Temporal Analysis
Visualisation Machine Learning

Exploring Yellow Taxi Profitability in NYC - A Spatio-Temporal Analysis

Daniel Pham

dp - [d]ata scientist in [p]harma

I am a Melbourne-based data scientist with expertise in ML/AI, application development, data management and modelling in biopharma R&D and manufacturing. I am also a PhD candidate at The University of Melbourne with a research focus on robust data mining and optimisation.

Latest Posts

A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development
Research Publication Biopharma Machine Learning

A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development

Daniel Pham
Identification of multi-omics biomarkers of preeclampsia
Research RNASeq Bioinformatics

Identification of multi-omics biomarkers of preeclampsia

Daniel Pham