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  • University of Miami Miller School of Medicine
  • Miami, Florida

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ddallmeier/readme.md

Julian Dallmeier - Computational Neuroscientist & Data Scientist

Table of Contents

About me

I am a computational neuroscientist with a passion for using data science techniques to study the brain and its diseases. I have experience in Python, R, and statistics, and I am always looking for new challenges and opportunities to apply my skills.

My Skills

  • Python: I have experience in using Python for data analysis, machine learning, and scientific computing. I am proficient in libraries such as NumPy, Pandas, Tensorflow, and Scikit-learn.
  • R: I have experience in using R for data analysis, visualization, and statistical modeling. I am proficient in packages such as ggplot2, dplyr, and lme4.
  • Statistics: I have a strong background in statistics, with a focus on statistical modeling, hypothesis testing, and data analysis. I have experience in using statistical methods for neuroscience research.

Projects

A selection of projects.

Data Science & Machine Learning

Project Description Implementation Dataset Date
Alzheimer's Disease Pathology (IDSC Fellowship) Utilization of supervised and unsupervised machine learning for Alzheimer's Disease research. Launch Event & Capstone Presentation Python Neuropathology dataset 05/2022
Blood Biomarker Assessment I developed a machine learning models to determine the importanace of blood biomarkers following traumatic brain injury. I used Python and Scikit-learn to preprocess the data, train the model, and evaluate its performance. Python Blood Antibody dataset 02/2019

Data Visualization

Project Description Implementation Dataset Date
Stock Samurai I developed a WebApp to visualize stock market data. Includes sustainability measures, stock charts with bollinger bands, and investment bank recommendations. Python, HTML, Markdown Stock Financial data 11/2022

App Development

Project Description Implementation Dataset Date
Digital Biomarker Generation and Analysis I developed an app to record stimulus and self paced movements and performed pattern analysis to generate digital biomarkers for Parkinson's disease. I used java to create the front end and back end of the android app and Matlab and Python to analyze the data and evaluate scientific significance. Java & Matlab App generated data 06/2018

Courses & Certificates

Contact info

Popular repositories Loading

  1. ddallmeier ddallmeier Public

    Config files for my GitHub profile.

  2. IDSC-Fellowship-2022 IDSC-Fellowship-2022 Public

    Exploring Alzheimers disease pathology through non-linear dimensionality reduction. A data science project in collaboration with the Institute for Data Science and Computing at the University of Mi…

    Jupyter Notebook

  3. Digital-Biomarkers Digital-Biomarkers Public

    Developed an app to record stimulus and self paced movements and performed pattern analysis to generate digital biomarkers for Parkinson's disease.

    Java

  4. TBI-Blood-Biomarkers TBI-Blood-Biomarkers Public

    This code uses dimensionality reduction and machine learning to identify the most important features for scientific analysis of blood antibodies following traumatic brain injury.

    Jupyter Notebook 1

  5. geospatial-visualization geospatial-visualization Public

    Forked from tibbben/geospatial-visualization

    urban cartography course materials

    HTML

  6. stockSamurai stockSamurai Public

    Python