SynCIPHER Web App
In the process of developing an
R Shiny app to make analysis with
SynExtend simpler for end-users. Code is available at https://github.com/ahl27/SYNCIPHER-app, and the end results will be publicly released soon!
Academic Paper Finder
I wrote this script to discover more papers similar to what I’m currently reading. It takes as input a collection of PubMed ID’s and search terms, and then traverses the network of citations to find more papers containing the search query. It then uses TF-IDF to convert each paper’s abstract into a vector, and then clusters the result with K-means clustering. I wanted this to run on my iPad, so I used Pythonista, which unfortunately does not have access to most widely used libraries for NLP (such as pandas or scikit-learn). As a result, everything is implemented from scratch, including TF-IDF and K-means.
In the future I’m going to investigate hierarchical clustering methods (ex. UPGMA), using SciBERT for clustering, and having the script search for terms for you (removing the need for initial PubMed IDs to search from).
I’m a big fan of esoteric languages, and one that really caught my eye was Whitespace, a Turing-complete programming language using only whitespace characters (space, tab, and return). I wrote up this interpreter in Python for running Whitespace code, mainly as an exercise for learning how interpreters work. One of the big challenges was that popular text editor programs automatically reformat whitespace characters (ex. tabs to spaces), which immediately ruins Whitespace programs.
I love building mechanical keyboards (and honestly I have too many at this point). My favorite at the moment is the Qull, a sub-40% keyboard with lots of key combos. Unless mentioned otherwise, all of my keyboards use linear switches (Cherry reds or blacks) and XDA caps (though the Corne is pictured with DSAs that look nicer).
This board uses MT3 caps, with artisan caps from Asymplex!
Big Dill Extended v2
6502 Breadboard Computer
I built this computer following Ben Eater’s guides on YouTube. It’s a breadboard computer using a 65c02 microprocessor, with 32KB of RAM and 16Kb of ROM. Ben Eater initially connected a keyboard via PS/2, but I wanted my computer to be able to communicate with USB protocols. I used a Raspberry Pico to build a USB-to-PS/2 decoder that translates USB Keyboard input into serial PS/2 codes.
I built a web server to centralize my files, gain some experience with LAMP stacks, and have a robust compute environment that I could access remotely from something like an iPad. My web server hosts NextCloud to store my files on, and runs RStudio Server edition on a virtual machine.
I’m interested in adding on a small supercomputer cluster with something like Kubernetes on Raspberry Pis for prototyping, though unfortunately due to supply chain shortages this addition is currently on hold.