Data Scientist, Researcher, Author
Edmonds, WA
I am a data scientist, researcher, and author based in Edmonds, WA. I have worked on a diverse set of problems and try to solve them in the simplest way possible, but I have been specializing in stochastic modeling and machine learning (including deep learning).
Building on my work at True Media I have been building and licensing datasets of DeepFakes to help with training / measuring DeepFake detection models. I monitor social media to identify new ways that people are making deepfakes, so that models can capture htem before they are widely used by scammers. I also have a patent-pending method for generating training datasets tailored to specific verticals.
Previously I have consulted on a range of other projects, such as:
Feel free to reach out if you'd like to discuss a project!
A self-contained overview of Data Science, this book covers the math, programming and business. Currently in its 2nd Edition.
Also available in Chinese and Korean
Published by Wiley & Sons
This is for people who don't personally want to do data science, but need to leverage it in their organization. It gives a broad overview of the tools and techniques of data science, including the technical depth needed to critique models, interpret analytical results yourself, and see through bullshit.
Also available in Chinese
Published by Wiley & Sons
What is Math? is an exploration of mathematics not just as a tool, but as a deeply human pursuit. Weaving together cognitive science, linguistics, and rich historical context, this book offers a novel perspective on how we understand and interact with quantitative concepts.
Self-published
Blast from the past! This was written back when I was at UW. I show the critical and under-appreciated role that thermodynamics plays in the low mutation rate of DNA when cells divide.
I wrote this with people at CMU, and it calculates the average wait time for hard disks under certain assumptions. It turns out to be a very subtle problem; many previously published papers botched the math.
This paper, which I only put on ArXiv, generalizes the previous one to general polling systems.
This is an article that I wrote while at the Allen Institute for Artificial Intelligence. It analyzes a large corpus of scholarly work to show that China is on-track to overtake the US in AI research, even when you look at only the most important research. The article was widely covered in the press, including WSJ, Wired, MIT Tech Review, and GeekWire.
A tutorial series on Hidden Markov models, their applications, and variants of them.
A Python library I developed that supports continuous-time Hidden Markov Models. Basically it's HMMs but with irregularly-spaced observations - super useful in situations like medicine or customer interactions where observations arrive at irregular intervals, rather than a fixed schedule.
For machine-assisted discovery of join keys between different datasets. I led the team at Maana that developed this patent and integrated it into our production code.
ESDM is a play-based therapy for kids on the autistic spectrum. Unfortunately their website is very hard to navigate. I vibe-coded a map that lets you easily find therapists all over the world.
This is an interactive map of all alpine fishing lakes in Washington state. You can filter by fish species, elevation of the lake, etc. All of this data is technically already available, but I find a map makes it MUCH easier to explore and interact with.
I am learning Mandarin, and I made this app to help me make flashcards. You just put in a big blob of Chinese text (for me it tends to be song lyrcs) and it will extract the words and make them into Anki-friendly CSV that you can just paste in to make flashcards. It uses Llama on Hugging Face for the actual translation.