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Ross Lawrence is a seasoned software engineer with expertise in full-stack web development, data analysis, and research. He has a Master of Science in Engineering in Biomedical Data Science and a Bachelor of Science in Bioengineering. Ross has worked as a Junior Machine Learning Engineer at DeepHealth, a Research Assistant at The Johns Hopkins University School of Medicine, and a Student Researcher at McGowan Institute of Regenerative Medicine.

Credentials

  • Generative AI with Large Language Models
    Coursera
    Oct, 2023
    - May, 2026

Experience

    • Junior Machine Learning Engineer
      • Mar 2023 - Present

      - Developed deep ML models for mammogram QA using PyTorch and TensorFlow- Assisted in the continued development of Saige-Dx, a ML model for identifying the presence of potentially cancerous lesions in screening mammograms, and Saige-Density, a ML model for identifying breast density in mammograms...

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Sr. Programmer Analyst
      • Dec 2021 - Present

      • Researched relationships between physiological signals (heart rate, PNS, verbal) and changes in affect in adults with ASD-3, collaborating with teachers and specialists.• Collaborated with researchers in other academic institutions for the analysis of EEG data collected from adults with ASD-3• Developed custom iOS and Windows apps for the collection of heart rate and ECG data transmitted through Bluetooth Low Energy from a Polar H10 device• Maintained and modified technology used for data collection, including the software present on both iPhones and Polar H10, as well as Physio16 hardware• Created MATLAB and Python scripts which performed frequency and time domain analyses on collected physiological signals• Trained machine learning classification algorithms on collected physiological data for the purposes of predicting changes in affect and onset of disruptive outbursts in adults with ASD-3• Managed and taught a team of Johns Hopkins students tasked with exploration of different analysis techniques for the physiological data, including how to collaborate using Github and Microsoft Teams

    • Research And Teaching Assistant
      • Jul 2019 - Mar 2022

      - Led the development of m2g, an open-source python-based diffusion and functional MRI analysis pipeline designed to generate structural and functional connectomes. First author on corresponding manuscript currently under review.- Developed and maintained the neuroparc repository, an open-source centralized collection of brain parcellation files. First author on the published manuscript.- Mentored and supervised Johns Hopkins Biomedical Engineering students as a Teaching Assistant for NeuroData Design I & II. Oversaw student projects related to MRI and medical image analysis.- Collaborated with DIPY group to add functionality from m2g into their open-source, dMRI analysis library- Assisted in development of dMRIPrep through my attendance at a coding "sprint" event

    • Research Assistant
      • Feb 2018 - Dec 2021
      • Baltimore, Maryland Area

      Function as both Research Assistant and Lab Manager in a lab focusing on Cognitive Neurology and memory development. In charge of :- Developing neural image analysis software along with MRI-compatible stimulus programs- Contacting, recruiting, and interacting with human participants (age 5 to 40)...

  • Amazon
    • King of Prussia, PA, 19406
    • Sortation Associate
      • Oct 2017 - Nov 2017
      • King of Prussia, PA, 19406

      Organize and sort packages for shipment using company software.

  • Center for the Neural Basis of Cognition
    • Biomedical Science Tower 3, 3501 Fifth Ave, Pit...
    • Student Researcher
      • May 2016 - Jul 2017
      • Biomedical Science Tower 3, 3501 Fifth Ave, Pit...

      • Updated and improved upon existing neural image analysis software• Set up and implemented a PhaseSpace motion capture system and created protocols as well as customized software for said system• Created analysis software to convert PhaseSpace collected data into meaningful anatomical relationsh...

    • Undergraduate Student Researcher
      • Jan 2015 - Apr 2016

      • Responsible for robot training, dissection, and histology of mice biceps using specialized equipment• Played a key role in performing muscle recovery training on mice to study the response to different stress rehabilitation exercises• Participated in injection of LacZ transfected muscle stem ce...

  • Franklin Mint Federal Credit Union
    • Springfield, Pennsylvania
    • Junior Marketing Intern
      • Sep 2011 - May 2013
      • Springfield, Pennsylvania

Education

  • 2020 - 2021
    The Johns Hopkins University
  • 2013 - 2017
    University of Pittsburgh

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Industry Focus. “Computer Software”

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