September 18, 2022 | ☕️ 3 min read | 📍 San Francisco
Part 1 of N: A series on why and what I'm building now, starting with my personal operating system.
December 16, 2021 | ☕️ 8 min read | 📍 New York
Why I did it & what it was like
November 17, 2021 | ☕️ 10 min read | 📍 New York
Stepping through my Kubeflow Pipeline implementation
January 5, 2021 | ☕️ 4 min read | 📍 New York
10 takeaways from a techie working in politics.
October 18, 2020 | ☕️ ☕️ 9 min read | 📍 Miami
I like to think of ISL as a survey of toolkits across different modeling approaches for a) fitting a model and b) examining model fit. Below are notes on ISL’s classification, regression, tree, and support-vector machine toolkits.
September 2, 2019 | ☕️ ☕️ 8 min read | 📍 Edinburgh
This research surveys the capabilities and limitations of state-of-the-art (SOTA) deep learning classifiers. We aim to inform policy and decision makers, who must reconcile the benefits of social media platforms with the harms they threaten when hate speech is allowed to propagate.
April 11, 2019 | ☕️ 4 min read | 📍 Edinburgh
GDPR falls short of serving as a standard for algorithmic accountability because of its fraud clause, lack of consent guidelines, and allowance of complex data chains.
August 15, 2018 | ☕️ 4 min read | 📍 San Francisco
When I graduated from college in 2017, I travelled. I spent a year in Australia, New Zealand, Berlin, and Manhattan. I met and left wonderful people. I began to think more abstractly about my relationships.
November 30, 2017 | ☕️ 2 min read | 📍 New Zealand
From our findings, we can conclude that the FTC will continue to handle privacy-related cases, with a trend of that number doubling every decade, and that these cases may continue to be at the intersection of advertising, automobiles, and health care.