My full CV is available here
Summary:
Computational Biology ･ Omics Data Integration ･ Cancer Genomics
Interests: Multi-omic data integration, Machine Learning, Structural Bioinformatics
Education
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
Brunk Lab 