Harry Zuzan

Principal Statistician at MicroByre
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San Francisco Bay Area

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Experience

    • United States
    • Biotechnology Research
    • 1 - 100 Employee
    • Principal Statistician
      • Dec 2019 - Nov 2020

      Berkeley Set up and administered AWS cloud computing for bioinformatics pipeline development Modeled and characterized bacterial growth curves in automated data workflows Designed, built and programmed hardware for milliliter volume fedbatch bacterial growth experiments Wearer of many hats in a 7 person startup

    • United States
    • Pharmaceutical Manufacturing
    • 700 & Above Employee
    • Statistician
      • Oct 2019 - Dec 2019

      New York, United States Applied Bayesian methodology to clinical work for a medical diagnostic device. Reviewed documentation to confirm that statistical analysis plans and their interem counterparts were consistent. Validated computational methods.

    • Biotechnology Research
    • 1 - 100 Employee
    • Principal Statistician
      • Jan 2017 - Oct 2019

      Menlo Park, California Image and signal analysis to identify translocations of DNA through protein nanopores. Design and analysis of mass spectrometry experiments to evaluate fluorescent labeling efficiency of DNA strands. Scientific programming and I/T support.

    • Analytics Consultant
      • Mar 2018 - Sep 2018

      Menlo Park, California, United States Signal analysis of images for the purpose of noise reduction in data generated by IonPaths' very nice MIBIscope system.

    • Biotechnology Research
    • 200 - 300 Employee
    • Senior Scientist / Senior Statistician
      • Jan 2008 - Jan 2017

      Emeryville - Developed statistical models and algorithms for whole genome copy number genotyping. - Prototyped statistical analysis methods for microarray data using high level languages and incorporated commercial implementations in C++. - Defined and implemented the hidden Markov model used on Affymetrix CytoScan products. - Designed the whole genome cytogenetic microarray, CytoScan Optima including probe selection. The novel design identifies both copy number neutralnand copy number variant… Show more - Developed statistical models and algorithms for whole genome copy number genotyping. - Prototyped statistical analysis methods for microarray data using high level languages and incorporated commercial implementations in C++. - Defined and implemented the hidden Markov model used on Affymetrix CytoScan products. - Designed the whole genome cytogenetic microarray, CytoScan Optima including probe selection. The novel design identifies both copy number neutralnand copy number variant genotypes using SNP. markers. Show less

    • Renewable Energy Semiconductor Manufacturing
    • 300 - 400 Employee
    • GRID Solar Installation Volunteer
      • Aug 2013 - Apr 2015

      Oakland, California On site volunteer for solar installation in low income housing.

    • Canada
    • Biotechnology
    • 1 - 100 Employee
    • Senior Statistician
      • 2003 - 2007

      - Provided experimental designs and analyses of whole genome gene expression studies for researchers in industry and academia - Collaborated on large and small academic research projects in whole genome studies - Presented seminars on gene expression technology and analyses of Affymetrix data - Designed a platform comparison study that led to the implementation of Illumina gene expression technology

    • United States
    • Biotechnology
    • 1 - 100 Employee
    • Biostatistician
      • 2001 - 2003

      - Collaborated with scientists to delineate gene expression profiles in human tissue samples. - Collaborated with software engineers by providing algorithms, source code and guidance for low-level analysis methods of gene expression data. - Collaborated with Gene Logic's software developers to develop data mining tools. - Developed and presented gene expression analysis methods at workshops and conferences.

    • Slovakia
    • Research Services
    • Computer scientist
      • May 1997 - Oct 1999

      Prediction of chemical properties and synthetic feasibility of small drug molecules. Object oriented design of relevant computational tools. Unix network administration.

Education

  • Duke University
    post doc, Statistics
    1999 - 2001
  • University of Guelph
    phd, Statistics
    1994 - 1997
  • University of Guelph
    MSc, Statistics
    1991 - 1993
  • University of Guelph
    BSc, Molecular biology and genetics
    1988 - 1991

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