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Margaret Reuter

Margaret Reuter

Ann Arbor, MI, USA

Postdoctoral Researcher @ University of Michigan | Engineering PhD

Postdoctoral Researcher at University of Michigan

Open to Remote
Open to Relocation
Contact

Background

My work at the University of Michigan intertwines artificial intelligence and data science to pioneer predictive models for multidrug therapies. Our team's efforts in the Sriram Chandrasekaran Systems Biology Lab center machine learning innovations, notably in drug combination therapy, to address the global challenge of antibiotic resistance. My practical expertise spans over four years, with a focus on leveraging machine learning to create pipelines for drug combination therapy design. I have also mentored multiple PhD, Master's, and undergraduate students through their research and written successful grants to fund their projects and my own.


Job experience

  • September 2020 - present
    Postdoctoral Researcher
    University of Michigan
    Ann Arbor, MI, USA

    Biomedical Engineering Department, Sriram Chandrasekaran Systems Biology Lab. Designing and building machine learning pipelines to predict effect drug combination therapies. Mentored and worked directly with over 10 PhD, Master's, and undergraduate students through their research projects. Written successful grants to fund multiple projects.

  • September 2016 - April 2019
    Engineering Teaching Consultant
    University of Michigan, Center for Research in Teaching and Learning
    Ann Arbor, MI, USA

    Part- time position during my PhD career. Provided feedback on teaching practices for graduate student instructors, performed midterm assessments from student feedback, and observed instructors during class time. Consultations consisted of observing lectures, gathering feedback from students without the teaching assistant present, and then synthesizing and curating data from students into actionable items for the teaching assistant to implement. While the consultations were done independently, to organize these services, I worked in a team of four, training new hires, and attended weekly meetings with all consultants to discuss pedagogy and the challenges we faced during consultations.

  • September 2014 - December 2019
    Graduate Teaching Assistant
    University of Michigan
    Ann Arbor, MI, USA

    Teaching assistant for three Civil and Environmental Engineering courses during 10 different semesters. Led weekly recitation sections, held weekly office hours, developed exam and homework problems, and filled in as a guest lecturer. Courses had 60-120 students of varying grade levels from freshman to graduate students.

    The courses included: CEE 265 Sustainable Engineering Principles, CEE 365 Environmental Engineering Principles, CEE 567 Energy Infrastructure Systems (graduate level).

  • September 2013 - October 2019
    Graduate Research Assistant
    University of Michigan
    Ann Arbor, MI, USA

    PhD program in Environmental Engineering. To evaluate chlorine dioxide as a disinfectant, I investigated the chemical interactions with disinfection targets (i.e. viruses and other pathogens) and pipe corrosion surfaces using both computational and experimental methods. My findings could inform drinking water treatment plants' adoption of chlorine dioxide and offer insight into the application of computational methods for environmental engineering research.

    Computational chemistry experience using YASARA, Molecular Dynamics, Density Functional Theory, ReaxFF, AutoDock, VINA, Gaussian, Materials Studio, remote computing clusters, VASP, and Unix.

    Analytical chemistry experience with ion chromatography, Orbitrap mass spectrometry, X-ray powder diffraction, x-ray photoelectron spectroscopy.


Education

  • University of Michigan
    PhD
    2013 - 2019
    PhD program in Environmental Engineering. To evaluate chlorine dioxide as a disinfectant, I investigated the chemical interactions with disinfection targets (i.e. viruses and other pathogens) and pipe corrosion surfaces using both computational and experimental methods. My findings could inform drinking water treatment plants' adoption of chlorine dioxide and offer insight into the application of computational methods for environmental engineering research.

    Computational chemistry experience using YASARA, Molecular Dynamics, Density Functional Theory, ReaxFF, AutoDock, VINA, Gaussian, Materials Studio, remote computing clusters, VASP, and Unix.

    Analytical chemistry experience with ion chromatography, Orbitrap mass spectrometry, X-ray powder diffraction, x-ray photoelectron spectroscopy.
  • University of Michigan
    Master's
    2013 - 2015
    Environmental Engineering
  • Cornell University
    Bachelor's
    2007 - 2011
    Environmental Engineering