My full CV is available  here

Computational Biology ・ Omics Data Integration ・ Cancer Genomics

Interests:  Multi-omic data integration, Machine Learning, Structural Bioinformatics

2018 – 2020     CREST Scholar     UC San Diego Medical School 
2008 – 2013     Doctorate               EPFL, Chemistry and Chemical Engineering
2007 – 2008     Master Degree      ENS-Lyon, Physical Chemistry
2003 – 2007     Bachelor                 University of Michigan, Biochemistry

Research Experience
2018 – 2020     T32 Fellow         Moores Cancer Center
cancer genomics, multi-omic data integration, machine learning

2016 – 2018     Consultant           Celgene, San Diego
computational analysis of high-throughput drug profiling, processing cancer CRISPR, RNAseq & proteomics cell line data, protein degradation mechanisms 

2014 – 2015      Consultant          Novo Nordisk Foundation, Denmark Tech. Institute
computational protein engineering, computer aided linker design, molecular therapeutics
* work resulted in patent

2013 – 2017      SNSF Postdoc     UC Berkeley and UC San Diego
Advisors: Prof. Jay D. Keasling & Prof. Bernhard Palsson, Dept. of Bioengineering

2008 – 2013       Graduate Assistant     EPFL, Switzerland
Advisor: Prof. Ursula Rothlisberger, Institute of Chemistry and Chemical Engineering

2007 – 2008        Master Thesis                ENS-Lyon, France
Advisor: Dr. Paul Fleurat-Lessard, Dept. of Chemistry

2006 – 2006        Intern                  Genentech, San Francisco 
Advisor: Dr. Vickie Tsui, Computational Medicinal Chemistry Unit

2005 – 2007        UROP                    University of Michigan
Advisor: Prof. Ioan Andricioaei, Dept. of Biophysics