Ryan Dibble
Sr. Research Programmer/Analyst
Pittsburgh,PA
Summary
Experienced Programmer/Analyst with exceptional problem solving and troubleshooting skills. Several years experience in Computer Vision (medical imaging), software development, and data analysis.
Overview
6
6
years of professional experience
Work History
Senior Research Programmer/Analyst
Carnegie Mellon University, CCBI
07.2023 - Current
- Machine Learning: Actively uses modern machine learning techniques for exploratory MVPA analysis of fMRI data in matlab and python programming languages. Utilizes common predictive modeling and classification algorithms within and across subject fMRI datasets.
- Data Analysis: Applies common biostatistical models and computer vision knowledge to discover neural signatures of high dimensional fMRI data.
Project Manager
Activity Rhythm Solutions
09.2022 - 08.2023
- Task Management: Oversaw and managed developer tasks, meetings, and progress via Kanban/Trello to corroborate CEO vision with interdisciplinary team of engineers.
- Software Testing: Lead technical & design decisions in startup development life cycle to ensure swift application deployment. Wrote tests for backend metric calculations and continually tested web and mobile applications for front end design bugs.
Data Analyst/Systems Programmer II
University of Pittsburgh, NDRD
06.2021 - 06.2023
- Computer Vision: Leveraged computer vision and object oriented programming knowledge to build various image processing tools.
- Data Management: Utilized python expertise to develop ETL pipelines and subsequent volumetric documentation for clinical trial data transfers, removing manual data entry tasks for researchers.
- Data Analysis: Extracted structural/diffusion MRI metrics from raw imaging data for multiple clinical trials, significantly increasing ROI segmentation accuracy compared to automated software packages.
Neuroimaging Lab Assistant
UPMC, GPN
10.2018 - 05.2021
- Development: Adapted and developed Matlab/Bash scripts for variety of imaging study needs and leveraged Pittsburgh Supercomputing Center(PSC) allocation to perform analysis on 725 subjects of Human Connectome Project (aging) data set, increasing number of healthy controls for study analysis by over 300 percent.
- Data Analysis: Analyzed and extracted 3D structural volumetrics for multiple, multi‑modal, MRI imaging studies depending on PI demands/goals.
- Scientific Literature: Curated several literature reviews for lab(s) to determine practicality of potential grant submissions as well as aided in revision of several grant submissions, two of which led to funding from NIH.
Education
B.S - Neuroscience (Minor Chemistry)
University of Pittsburgh
Pittsburgh, PASkills
Languages: Python, Matlab, Java, C, JavaScript, Bash, LUA, LATEX
Tools: Git, Docker, Linux, Cython, Gradle, Flask, CMAKE, Unix, Trello, CAD, SolidWorks, Microsoft Office
Data Science: Numpy, Scipy, Matplotlib, SQL, PyTorch, Scikit‑Learn, Pandas, Keras/TensorFlow, OpenCV
Additional
Topics & Interests: Computational Neuroscience/BCI, Robotics, Game Theory, Philosophy, Data Engineering, Deep Learning
Activities: SAE Aero Design Competition, Engineering Society of Western Pennsylvania, XSEDE/PSC member
Timeline
Senior Research Programmer/Analyst
Carnegie Mellon University, CCBI
07.2023 - Current
Project Manager
Activity Rhythm Solutions
09.2022 - 08.2023
Data Analyst/Systems Programmer II
University of Pittsburgh, NDRD
06.2021 - 06.2023
Neuroimaging Lab Assistant
UPMC, GPN
10.2018 - 05.2021
B.S - Neuroscience (Minor Chemistry)
University of Pittsburgh
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