From Genomics to Molecular Mechanisms: Leveraging Big Data with Integrative Workflows

BIOENGINEERING SEMINAR
 
Abstract:
Standardized, multi-omics datasets are becoming increasingly available, but major impediments prevent the realization of impact of big data resources. Integrative approaches that bridge the molecular and system sciences bring the promise of leveraging large-scale data to maximize its potential. Here, I present the development of in silico workflows that make use of cross-disciplinary resources. Applications of these tools enable a comprehensive exploration of the physiological consequences of genetic and environmentally-driven variation, which is paramount for further progress in genomic medicine. 

Bio:
Employment History:
2018 – Present | CT2 Fellow | Moores Cancer Center
2016 – Present | Scientific Consultant | Celgene
2015 – 2017 | Postdoctoral Research | UC San Diego
2014 to 2015 | Consultant | Novo Nordisk Foundation, Denmark Tech. Institute
2013 to 2015 | Postdoctoral Research |  UC Berkeley and Joint BioEnergy Institute
2008 to 2013  |  Doctoral Thesis | EPFL, Switzerland
2007 to 2008  | Master Thesis. | Joint Masters via ENS and UvA
2006  | Research Internship | Genentech, San Francisco, CA
2005 to 2007 | Undergraduate Research Assistant | University of Michigan

Education:
Oct 2008 – Jul 2013 | Ph.D. Chemistry and Chemical Engineering | EPFL
Sep 2007 – Jun 2008 | M.Sc. Physical Chemistry and Molecular Modeling | ENS-Lyon
Sep 2003 – Jun 2007  | B.Sc. Biochemistry | University of Michigan, Ann Arbor


Zoom link for attending remotely:  https://zoom.us/meeting/242240523