[VS]Codes – Home

Welcome to [VS]Codes, a biomedical data science and health AI blog mixed with professional advice and miscellaneous detours, written by Vivek Sriram. To subscribe to my blog and get updates on my new posts directly in your inbox, click here.

Building a Pacific Northwest Tree Identifier with Deep Learning (and Claude Code)

Miscellaneous

Personal

Overviews

Tutorials

An adventure in AI-assisted coding, transfer learning, and web app development

Modeling Sequential Data (RNNs, LSTMs, and GRUs)

Overviews

Deep Learning in Biology - Week 4

Convolutional Neural Networks (CNNs)

Overviews

Deep Learning in Biology - Week 3

Foundations of Deep Learning

Overviews

Deep Learning in Biology - Week 2

An Intro to Deep Learning for Biology

Overviews

Deep Learning in Biology - Week 1

Bridging the Health AI Readiness Gap

Conferences

Highlights from the 2025 Stanford AIMI Symposium

The Sloan Precision Oncology Institute’s AI Symposium 2025

Conferences

Talk summaries and my personal takeaways

How to activate a virtual Python environment

Tutorials

3 quick steps to simplify Python package installation

An introduction to ‘Infrastructure as Code’ (IaC)

Overviews

Automating and scaling infrastructure management

Breaking the urgency trap with the Eisenhower Matrix

Advice

Miscellaneous

Tips for smarter work prioritization

Bridging the gaps in biomedical data science

Personal

Overviews

My new publication on addressing challenges and opportunities in the biomedical data lifecycle

Using network theory to explore the effect of biological sex on disease multimorbidities

Personal

Overviews

An overview of my latest scientific publication

Stanford AI + Health Conference 2024

Conferences

Talk summaries and my personal takeaways

An overview of data democratization

Overviews

Anakin, my allegiance is to the Republic, to democracy!

An overview of learning health systems

Overviews

A data-driven paradigm for healthcare

Why I think the pursuit of “work-life balance” is overrated

Advice

Miscellaneous

Personal

Reframing a professional paradigm

My blog / newsletter recommendations

Personal

An intro to Convolutional Neural Networks

Overviews

A summary from Fei-Fei Li’s Stanford CS231n: ‘Deep Learning for Computer Vision’ course

posit::conf 2024

Conferences

A few talk summaries and my personal takeaways

An intro to NLP for oncology

Overviews

A summary of Yim et al’s JAMA Oncology paper ‘Natural Language Processing in Oncology: A Review’

Factor analysis for multiomics data with MOFA2

Overviews

Tutorials

Some background information and a tutorial by Alex Gurbych from blackthorn.ai

Obliteride 2024

Miscellaneous

Putting cancer behind us

Introduction to PyTorch

Tutorials

Using basic PyTorch to process data and train a neural network

Cascadia R Conference 2024

Conferences

A few talk summaries and my personal takeaways

My podcast recommendations

Personal

A Python introduction to neural networks and backpropagation

Tutorials

Andrej Karpathy’s ‘Neural Networks: Zero to Hero’ video #1

My doctoral research: takeaways and advice

Personal

Advice

We’re all in this together

My doctoral research: the content

Personal

Overviews

Conte(n)t is everything

My doctoral research: the background

Personal

Overviews

Context is everything

Biomedical Data Science sub-disciplines (v0)

Overviews

What’s in a word?

Correcting batch effects in single cell RNA-seq data with Monocle 3

Tutorials

Takeaways from the SASC User Group Workshop #2

My professional journey

Personal

Life is a highway

Hello world!

Personal

The start of a new chapter