George Ho
  • @eigenfoo
  • New York, NY
  • he/him
tldr: I’m a data scientist and machine learning researcher based in New York City. I like natural language processing, Bayesian modelling, open source software and coffee.

Hello! My name is George.

I’m a data scientist and machine learning researcher, with a focus on natural language processing and Bayesian modelling. I’m based in New York City and I work for Flatiron Health.

In my copious free time, I contribute to and maintain several open-source libraries (particularly the PyMC project). Away from the keyboard, I spend my time drinking coffee and accruing new hobbies (to date: cryptic crosswords, bouldering, photography, mechanical keyboards…).

Previously, I worked for Point72 and Quantopian, and I studied engineering at The Cooper Union.
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Resume

Oct 2021 - Present

Data Scientist, Flatiron Health

Jul 2019 - Present

Quantitative Researcher, NLP Research, Point72 Asset Management

Portfolio

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https://cryptics.eigenfoo.xyz/ cryptics.eigenfoo.xyz is a dataset of cryptic crossword clues, collected from various blogs and publicly available digital archives. I originally started this project...
A while back, I explored the possibility of simplifying 1 PyMC4’s model specification API by manipulating the Python abstract syntax tree (AST) of the model code. The PyMC developers didn’t end up ...
I’ve recently had to learn a lot about natural language processing — specifically, Transformer-based models. I thought I’d write up my reading and research and post it. https://eigenfoo.xyz/transfo...
Floating-point formats are not the most glamorous or (frankly) the important consideration when working with deep learning models: if your model isn’t working well, then your floating-point format ...