Evan Kiefl

Evan Kiefl

Research Assistant

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location of Evan KieflAlbany, California, United States

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  • Timeline

  • About me

    PhD in biophysical sciences; I'm a computational biologist who searches for the meaning hiding within raw biological sequencing data

  • Education

    • University of Victoria

      2010 - 2015
      BSc Physics
    • The University of Chicago

      2016 - 2022
      PhD Biophysics
  • Experience

    • Paul Scherrer Institut

      May 2013 - Aug 2013
      Research Assistant

      • Controlled data acquisition software systems for a muon spectroscopy facility at the Swiss Muon Source • Analyzed muon spectroscopy data to infer the magnetic landscapes of superconductors, single-molecule magnets, and topological insulators

    • Simon Fraser University

      May 2014 - Aug 2014
      Research Assistant

      • Designed and executed optical-tweezers-based microrheology experiments that characterized how molecular alterations to collagen influence higher order structuring

    • University of Victoria

      May 2015 - Jul 2016
      Research Assistant

      • Developed diffusion and correlation spectroscopy theory for applications in surface-enhanced Raman spectroscopy (SERS)• Created a statistical model rationalized by nanoscopic light-scattering simulations for estimating SERS substrate quality from single-molecule SERS data

    • The University of Chicago

      Aug 2016 - Jun 2022
      Doctoral Student

      • Trailblazed the development of computational strategies for integrating metagenomic data with structural bioinformatics• Developed open source software used by hundreds of scientists through my role as a keystone developer of anvi’o, a platform that enables integrated and reproducible analysis and visualization of multi-omics data

    • AbCellera

      Jun 2022 - Mar 2023
      Bioinformatician

      • Scoped, executed, and delivered a bioinformatic tool for enhancing therapeutic candidate analysis• Contributed to the development of a scientist-facing Python API layer, simplifying complex operations for our biologists. This effort improved accessibility and efficiency in our scientific analysis processes• Authored extensive and user-centric documentation, fostering improved collaboration and understanding between software developers and scientific teams. This was enabled by my dual expertise in both software engineering and genomic research.• Established reproducible data science pipelines using DVC and AWS cloud integration, adhering to test-driven development practices and employing strict static type checking, all within a monorepo framework Show less

    • Arcadia Science

      Apr 2024 - now
      Protein Bioinformatician
  • Licenses & Certifications

    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Coursera
      Jun 2021
      View certificate certificate
    • Neural Networks and Deep Learning

      Coursera
      May 2021
      View certificate certificate