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rysummers/README.md

Introduction

Hi there! I'm Ryan, a finance-turned-biostatistician passionate about improving how statistical methods are applied in public health and medicine. My journey began with analyzing financial data and has since evolved into ensuring the proper use of advanced statistical techniques in medical research.

My Path

Career Pivot: I made the leap from finance to biostatistics, driven by a desire to apply my analytical skills to meaningful medical research.

Recent Project: Most recently, I worked as a statistical consultant on a retrospective study of pediatric orbital cellulitis in Colorado. This project involved applying methods such as generalized linear mixed models (GzLMM) and calculating standardized incidence rates to provide a clear picture of the affected population.

What I Bring to the Table

Tech Stack: Proficient in R, SAS, and Python for data wrangling and advanced analysis.

Skills: Experienced in exploratory data analysis, statistical testing, and data visualization. Currently expanding into machine learning to broaden my toolkit.

Approach: I believe in evidence-based healthcare decision-making and strive to provide insights that drive meaningful change.

What I'm Looking For

I'm seeking opportunities in biostatistics and data science, particularly those focused on advancing genetic research.

Let's Connect!

I'm always eager to learn and grow. If you have suggestions on skills I should add to my repertoire or if you'd like to collaborate, please reach out!

Skills

  • Python
  • R
  • SAS
  • Statistical Analysis
  • Data Munging
  • Predictive Modeling
  • Machine Learning
  • Linux: proficient in using Linux as my primary OS for daily use and data-analysis.

Projects

Detection of Orbital Cellulitis Using a VGG16-Based Convolutional Neural Network (Python)
Independent Medical Review Analysis (R)
Simulation Study on Poisson Regression: Type I and Type II Error Rates (R)
Bayesian Approach to Modeling Melanocytic Nevus Development in Colorado (R)

Thesis (in progress)

Characterization of DNA Methylation Changes in Children with Type 1 Diabetes (R)

Contact

If you'd like to get in touch with me, feel free to reach out via
LinkedIn: https://www.linkedin.com/in/ryan-summers-32b096b0/

Pinned Loading

  1. teddy-dnam-analysis teddy-dnam-analysis Public

    Analysis and annotation of CpG sites identified from the TEDDY DNA methylation study

    R

  2. BIOS6624-Class BIOS6624-Class Public

    Repository for project work for BIOS6624-Advanced Statistical Methods & Analysis

    HTML 1

  3. OC-Detection OC-Detection Public

    Orbital Cellulitis detection using Convolutional Neural Network (CNN) with VGG-16 Model Architecture

    Jupyter Notebook

  4. dnmtools dnmtools Public

    Forked from smithlabcode/dnmtools

    Tools for analyzing DNA methylation data

    C++

  5. Bayesian_Nevus_Development Bayesian_Nevus_Development Public

    Applying Bayesian modeling techniques to asses the effect of nevus (mole) counts across different demographic and phenotypic subgroups in Colorado

  6. IMR_Analysis IMR_Analysis Public

    Goal is to develop an accurate and reliable classification model to predict the outcome of the IMR’s decision with the goal of identifying potential biases or disparities in the review process.

    HTML