About ReadingFrame
Who I Am
I'm a high school researcher based in Bentonville, Arkansas. I'm interested in how machine learning and bioinformatics are being applied to biology and medicine: graph neural networks, gene expression, computational approaches to problems that are still genuinely hard.
I mostly use Python, Google Colab, and GitHub. I'm not affiliated with a university lab. I'm just someone who got pulled into this space and kept going.
Why ReadingFrame
The name comes from biology: a reading frame is the specific way a sequence of nucleotides gets parsed into codons. A shift of even one base changes everything you read. I thought that was a good metaphor for what this blog tries to do. The same development, read by someone embedded in the field, gets decoded differently than a press release or an abstract.
I started this because I kept finding interesting breakthroughs where I wanted to discuss the methods, the limitations, and what they actually mean for the field, and there was no place that did that from a student's perspective. Most breakdowns are written by journalists who haven't run the models, or by senior researchers writing for other senior researchers. This is neither.
One post per month, every month. One topic decoded in plain language, with a genuine take. No ads. No affiliate links. Just the work.
Research Interests
Cancer Biology & AI
How ML models are being applied to hard problems in oncology: drug response, subtype classification, treatment outcomes.
Graph Neural Networks
Using GNNs to model biological networks: protein interactions, gene regulatory networks, pathway structure.
Gene Expression Analysis
RNA-seq pipelines, differential expression, and what transcriptomic data can and can't tell us about biological systems.
ML for Biomedicine
Transformers, GCNs, and survival models applied to clinical and genomic data, and the validation gaps that keep them from clinical use.
Bioinformatics
Python pipelines, Google Colab notebooks, public datasets (TCGA, GEO), and making research reproducible.
Contact
I'm not currently taking guest post requests, but I'm always happy to hear from other student researchers or people working in Bio/AI. You can reach me through GitHub, Instagram, or email.