Ryan Bailey

Medical Student, Bioinformatician, and Photographer in San Antonio, Texas.

Long School of Medicine UT Health San Antonio

Biography

I am an MS1 at Long School of Medicine’s Class of 2025. I just graduated from the University of Texas at Austin, where I was a Biology major plus CompSci certificate seeker. During undergrad, I served in the Kowalski Lab, where I conducted molecular subtype analyses of genomic cancer datasets. I still volunteer in the Freshman Research Initiative stream, Microbe Hackers, where I help first-year students learn the ins and outs of scientific research. I hope to integrate my passions for bioinformatics, computer science, and leadership with my budding medical career.

Interests

Unsupervised Learning
Oncology
Generative Art
US Tax Policy

Education

Doctor of Medicine, 2025
Long School of Medicine at UT Health San Antonio
BSA Biology, 2021
The University of Texas at Austin
Elements of Computing Certificate, 2021
The University of Texas at Austin
Health Professions Certificate, 2021
The University of Texas at Austin
High School Diploma, 2017
Tuloso Midway High School

Skills

What I’m good (or at least marginally ok) at.

Python

Sci-Kit Learn, Numpy, Tensorflow, Pandas

Data Visualization

Matplotlib and ggplot

Portraiture and Landscape Photography

I do macro photography, too

Bioinformatics

Consensus Clustering on Molecular Cancer Datasets

Teaching and Mentoring

3+ years as a peer-mentor and 0.5 years as a PLUS facilitator

Unsupervised Learning

A Mix of Sklearn and ConsensusClusterPlus

Molecular and Synthetic Biology Lab Techniques

PCR, gel electrophoresis, minipreps, FISH, immuno-hybridization

Adobe InDesign, Photoshop, and Lightroom

To edit photos and design documents

Building and Training Artificial Neural Networks

Tensorflow GANs, CNNs, and LSTMs

Blog Posts

The Beauty of Reticulate

Python and R are integral to data science, period. There is no way around using them. Each language is great in its own right, but together, they’re unstoppable. In the below notebook, I am training a scikit-learn Support Vector Machine (SVM) classifier on Diabetic Retinopathy Debrecen Dataset.

Last updated on Dec 9, 2020 5 min read

The Beauty of Reticulate

Projects

Fitting Models on High Dimensional Biological Data (in R)

REB3566 Welcome to for loop h*ll 0a. Introduction This analysis is based on The Cancer Genome Atlas’ Pancreatic Adenocarcinoma Project (TCGA-PAAD). TCGA provides large, well-documented cancer datasets that are semi open-source.

Last updated on Dec 9, 2020

Fitting Models on High Dimensional Biological Data (in R)

Exploratory Data Analysis in R

EID: REB3566 0. Introduction Three datasets are combined and explored in this R markdown file. The first dataset contains cancer mortality and incidence by states in the United States.

Last updated on Dec 9, 2020

Exploratory Data Analysis in R

Books I Think You Should Read

Algorithms To Live By

The Computer Science of Human Decisions

Cancerland

A Medical Memoir

Guns, Germs, and Steel

The Fate of Human Societies

The Death of Expertise

The Campaign Against Established Knowledge and Why It Matters

The Doomsday Machine