• data-driven scientist with an interdisciplinary experience in computational, molecular, cell & developmental biology, data science and statistical modeling • passionate about personalized genetics & precision medicine and use of Data Science to help address human disease challenges • team and goal oriented • 15 years of experience in molecular and cell biology (including genomics and transcriptomics, microscopy and computer vision solutions for cell biology) • 6+ years of experience in next generation sequencing • 6+ years of experience in bioinformatics (next generation sequencing (NGS), high-content image processing and analysis, proteomics) • Python, R, Matlab for data science and computational biology • Unix/bash and DOS/batch scripting, git, SQL (intermediate), Java (basic), C++(basic) • high-performance computing (Ubuntu, CentOS, Windows Servers; SLURM, PBS) • hadoop and MapReduce • Vulcan logic with people skills

Senior Software Engineer, Signal Processing & Bioinformatics @ • Data Science for biomedical Big Data • Bioinformatics & actionable NGS • GeneReader NGS System - Sample to Insight https://www.qiagen.com/de/products/next-gen-sequencing/ From August 2015 to Present (5 months) Associate Specialist @ • developed data science approaches for Big Data in Life Sciences • developed analytical approaches for non-standard projects in genomics • in a team of two built a semi-automated, high-content image analysis and classification framework for biomedical images • supported team members in data analysis, novel technology and experimental design, and experimental work • supervisor: Rebecca Heald • TECHNIQUES: - next generation sequencing (RNA-seq, ChIP-Seq, RIP-Seq, low-input library synthesis), qPCR, molecular cloning, in-vitro cell biology assays, protein and RNA biochemistry, knock-down/-out technologies (RNAse H-mediated, RNAi, CRISPR), western blot, IP, proteomics (mass spec), animal handling, cell culture, IF, FISH, live imaging, wide-field and spinning disk microscopy - computational biology, multivariate image and NGS analysis, machine learning, data science and statistical modeling in Python, R, Matlab From July 2013 to July 2015 (2 years 1 month) Executive Committee Member @ http://bpep.berkeley.edu • promoting entrepreneurship • lead for social media, marketing and digital content • set up the groundwork and built social media follower base • in a team of 8, organized workshops and networking events to promote and support entrepreneurship among scientists • identified startup-relevant topics and reached out to speakers (incl. corporate) • facilitated access to legal, finance, etc. resources for aspiring entrepreneurs • helped building relationships between entrepreneur-scientists and general entrepreneurial and startup community • (2014-2015) technology and strategy advisor for a precision medicine startup From August 2013 to March 2015 (1 year 8 months) Postdoctoral Fellow @ • in a team of two worked on a project on the intersection of genomics and molecular cell biology to reveal non-canonical use of RNA processing machinery in cell division • established bioinformatic workflows and pipelines for next generation sequencing data analysis • established and maintained collaboration with the Computational Genomics Research Laboratory to obtain access to high performance computing cluster • gave multiple presentations to large audiences, including 6 international ones • authored and co-authored multiple grant applications • supervised and mentored graduate and undergraduate students • acted as a liaison between the lab and reagent and service providers • supervisor: Rebecca Heald • TECHNIQUES: - next generation sequencing (RNA-seq, ChIP-Seq, RIP-Seq, low-input library synthesis), qPCR, molecular cloning, in-vitro cell biology assays, protein and RNA biochemistry, knock-down/-out technologies (RNAse H-mediated, RNAi, CRISPR), western blot, IP, proteomics (mass spec), animal handling, cell culture, IF, FISH, live imaging, wide-field and spinning disk microscopy - computational biology, multivariate image and NGS analysis, machine learning, data science and statistical modeling in Python, R, Matlab From October 2009 to June 2013 (3 years 9 months) Postdoctoral Fellow @ • engineered gene expression suppression technology based on the chimeric small nuclear RNAs • designed, executed and analyzed experiments to reveal the role of a 3-D cell nucleus architecture for RNP assembly in a developing multicellular organism • authored and co-authored 3 grant applications and 2 publications • supervised and mentored graduate and undergraduate students • gave multiple presentations to large audiences, including 5 international ones • supervisor: Karla M. Neugebauer • TECHNIQUES: - immunofluorescence (IF), live cell imaging, wide-field and confocal microscopy, molecular cloning, qPCR, RNA, and protein biochemistry, metabolic labeling, cell culture, animal handling, antibody production and evaluation, western & northern blot, antisense-technologies (morpholino and chimeric small nuclear RNAs), microinjections, transfections - image processing and analysis, Python for data analysis From July 2008 to September 2009 (1 year 3 months) Research Assistant @ • worked within an international consortium of European groups on the Mediterranean food plants as potential therapeutics/nutraceuticals • designed, performed, analyzed large scale, cell-based screen (1 publication) • assisted in ascites-based production and testing of monoclonal antibodies for commercial clients • supervisor: Joanna Bereta • TECHNIQUES: molecular cloning, cell culture, transfections, screening, FACS, ELISA, western blot, animal immunization, monoclonal antibody production, luminometry From October 2003 to July 2004 (10 months) Research Assistant @ • assisted in desigining and execution of experiments to uncover nuclear architecture-related regulators of mammalian immune system development • supervisor: Rudolf Grosschedl • TECHNIQUES: molecular cloning, cell culture, transfections, protein expression and purification, activity assays, IP, western blotting, EMSA From February 2003 to June 2003 (5 months)

Doctor of Philosophy (PhD), Molecular, Cell and Developmental Biology, Magna cum Laude @ Max Planck Institute for Molecular Cell Biology and Genetics (MPI-CBG) From 2004 to 2008 Other, Data Science @ General Assembly From 2014 to 2014 Certificate, Laboratory Management @ EMBO & HFP consulting :: supporting leadership in science From 2013 to 2013 Certificate, Bioscience Management @ Keck Graduate Institute From 2013 to 2013 Master of Science (MSc), Biotechnology, Very Good (max.), Cum. GPA 4.8/5.0 @ Jagiellonian University From 1999 to 2004 Master of Science (MSc) @ Ludwig-Maximilians Universität München / University of Munich From 2003 to 2003 Magdalena Strzelecka is skilled in: Molecular Biology, Cell Biology, Genomics, Microscopy, Biochemistry, Data Analysis, Computational Biology, Bioinformatics, R, Python, Public Speaking, Data Mining, Data Science, Machine Learning, Fluorescence Microscopy