Ryan Young, Ph.D.

Scientist,

Engineer

(Site under development 🚧)

01

About
me

👋 Hi there

I'm Ryan,

a scientist based in Boston.

In brief, I'm a life-long tech enthusiast , lover of nature 🍃 and outdoor dynamic activities 🧗🚣.

Around 2015, I transplanted out to the East Coast from Houston to learn more about neural networks, biological and artificial. And that led me to pursue a Computational Neuroscience Ph.D. at Brandeis University in Waltham. My skills are an uncommon mixture of computer science and biology.

Research

At Brandeis, my work focused on system-level neural mechanisms of navigation with neuronal memory:

Decoding the coordinated messaging process between hundreds of neurons
Investigating temporal representations in single neurons for memory-guided tasks

Through my research, I've developed expertise in:

Managing and analyzing large datasets
Advanced signal processing techniques
Bayesian statistics and probabilistic programming
Emerging sequence models (tensor, state space, and transformer models)

Current Interests

In the last year, I've been developing side projects in:

Graph neural networks
Large-model applications in biotech and healthcare
Novel content-targeted autoencoders

I welcome collaboration. Let's build something awesome 🧨! Enjoy :)

02

My
Skills

Soft Skills
	Communication
	Teamwork
	Public Speaking
	Technical Writing
	Teaching / Mentorship

Data Science Machine Learning
	Unstructured Data
	Bayesian Statistics
	Exploratory Data Analysis
	Markov Decision Processes
	Time-series Analysis
	Probabilistic Programming
	Linear & Tensor Models

AI
	Deep Neural Networks
	LLM Fine-tuning & RAG
	Reservoir Networks
	Autoencoders
	Convolutional NNs
	Reinforcement Learning

Programming
	Python, Julia, C++/x86 ASM, R, Shell
	CI/CD, Git
	Cloud, Secure Shell (SSH), Apache Tools
	PyTorch, TensorFlow, JAX
	Vim, Emacs
	DSpy, Langchain, LlamaIndex

Software, Cloud, API
	Adobe Illustrator
	Adobe Photoshop
	Adobe After Effects
	Eagle PCB Design
	AWS, Google Cloud, Docker
	RESTful APIs

03

My
Experience

2016 - Present

Ph.D. Researcher

Brandeis University

Research Focus:
 Communication Subspaces in the Hippocampal-Prefrontal Circuit.
 Non-local brain representations for memory-guided decision-making.
Specialized in advanced time-series analysis, spectral methods, Bayesian decoding, manifold learning, and causal detection techniques.
Leadership: Mentored personnel in hypothesis development and testing using programming and mathematical models.
Data Engineering: Managed 400TB server infrastructure, optimized data storage and retrieval using AWS S3, Apache Arrow, Parquet, and SQL.
Programming: Developed Julia-based data architecture and analysis tools. Contributed to open-source projects in Julia and Python.
2014 - 2016

Research Assistant

Brandeis University

Developed C++-based software for real-time phase disruption in neural activities.
Engaged in equipment setup for neural data collection and designed 3D printed components for experimental research.
2012 - 2014

Research Assistant

University of Houston, Rice University

Sheth Lab: Conducted literature synthesis to support novel theories in visual processing.
Kemere Lab: Investigated immune reactions to carbon nanotubes in biological tissues.