 
                 
                Our vision is to understand biology one molecule at a time. We strive to provide a dynamic and quantitative understanding in structural and cell biology and to utilize this information to control aberrant biological function. We approach this formidable challenge with an eclectic mix of quantitative single particle microscopy techniques and machine learning analysis.
 
        The main objective of my group is to augment our understanding on the molecular mechanisms that
                    underlie and control vital cellular functions. We approach this challenge by deciphering the dynamic
                    interplay between the function and spatiotemporal localization of biomolecules (virus, dug
                    nanocarrier, oligonucleotides or protein assemblies) and how this correlate to cellular and
                    organismal response. We utilize an eclectic mix of single particle techniques that promises to shed
                    light on the interplays between the behaviour (dynamics, function and localisation) of biomolecules
                    and high throughput single particle screening methodologies to decipher oligonucleotide interactions
                    with membranes.
                    
                    Recognizing that 4D imaging generates terabytes of data sets, that are hard to be quantitatively
                    evaluated by current semi-manual analysis, we have developed toolboxes based on machine learning to
                    rapidly and reliably, analyze the wealth of novel microscopy data we, and others, produce. Our
                    all-inclusive softwares for windows and macs, offer accelerate by 5 orders of magnitude transition
                    from raw data to quantitative analysis. These combined methodologies bridge 4D imaging with
                    sophisticate image analysis required for delving into the era of 4D cell and tissue imaging.
                    Our 
 Funding