Imperial College London

DrPeterDiMaggio

Faculty of EngineeringDepartment of Chemical Engineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 5589p.dimaggio Website

 
 
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Location

 

218ACE ExtensionSouth Kensington Campus

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Summary

 

Summary

Date Role
2015- Senior Lecturer, Department of Chemical Engineering, Imperial College London
2012-2015 Lecturer, Department of Chemical Engineering, Imperial College London
2010-2012 NIH/NRSA Postdoctoral Fellow, Department of Molecular Biology, Princeton University
2004-2010 PhD in Chemical Engineering, Department of Chemical Engineering, Princeton University

Research Interests 

The DiMaggio Lab is interested in the development and application of innovative experimental and computational platforms for characterizing chromatin-associated proteins and how their interactions and post-translational modifications cooperatively regulate nuclear processes, such as gene expression.  At the center of our research program is liquid chromatography tandem mass spectrometry (LC-MS/MS), and our work contributes to this field on two fronts:

1. The application of fundamental chemical engineering principles towards the design, modeling and optimization of separation processes and analyte detection.

2.  The development of optimization-based computational tools for robustly interpretting novel sources of LC-MS/MS data.

LINKS 

Positions

No positions are currently available.  Please check back at a later time.

Selected Publications

Journal Articles

LeRoy G, DiMaggio PA, Chan EY, et al., 2013, A quantitative atlas of histone modification signatures from human cancer cells, Epigenetics & Chromatin, Vol:6, ISSN:1756-8935

Wu Y, DiMaggio PA, Perlman DH, et al., 2013, Novel Phosphorylation Sites in the S. cerevisiae Cdc13 Protein Reveal New Targets for Telomere Length Regulation, Journal of Proteome Research, Vol:12, ISSN:1535-3893, Pages:316-327

DiMaggio PA, McAllister SR, Floudas CA, et al., 2008, Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies, BMC Bioinformatics, Vol:9, ISSN:1471-2105

DiMaggio PA, Young NL, Baliban RC, et al., 2009, A Mixed Integer Linear Optimization Framework for the Identification and Quantification of Targeted Post-translational Modifications of Highly Modified Proteins Using Multiplexed Electron Transfer Dissociation Tandem Mass Spectrometry, Molecular & Cellular Proteomics, Vol:8, ISSN:1535-9476, Pages:2527-2543

More Publications