Energy, Learning, and Optimization
This blog has been quiet the last 4+ years while I was working at Teza Technologies, a quantitative hedge fund based in Austin. A combination of financial regulations, company policies, and a culture of secrecy keeps people from talking about life at quant funds- but now that I’m out, » Read More
For years, data-driven tech companies have used customers as their raw material: Facebook, Google, Amazon, and others track our moves across the web in order to sell that information and target advertisements. For a long time, users found this an acceptable tradeoff- but in the wake of the 2016 election and amidst the changes brought about by the General Data Protection Regulation (GDPR), » Read More
Machine learning has exploded as companies find ways to draw actionable insights from the data which consumers feed them. However, the efficacy of artificial intelligence algorithms is dependent on the size of the data pool- giving big companies like Facebook and Google a formidable advantage over small scrappy startups. » Read More
Early blockchains served as decentralized ledgers: creating trust by guaranteeing that each new entry securely built on previous entries. Smart contracting systems like Ethereum added intelligence to on-chain operations, making it possible to run simple computer scripts. » Read More
Conventional centralized optimization algorithms have challenge solving big optimization problems- at some scale, you simply can’t fit the problem on a single computer, let alone manage all of the variables. To solve this, researchers use decentralized optimization techniques to break the problem into a set of subproblems which can be rapidly solved on distributed computers or smart devices- but this exposes the optimization algorithm to cybersecurity threats from hacking these consumer-level devices. » Read More
PhinisheD! PhDone! I got my lollipop- after five years of classes, research, and lab presentations, I’ve finally finished the journey! And before I forget what it’s like to be in the swamp, I wanted to jot down thoughts about how I got through it. » Read More
In many technical fields, a PhD dissertation is written with the mantra “staple 3” – take three peer-reviewed articles, add an introduction and conclusion, and turn it in. In writing my dissertation, I used LaTeX in Overleaf and git to make it easy to reuse content from articles. » Read More
I just spoke with Valentina Nakic, who is writing a thesis about the future of the blockchain+energy space, and was struck by the realization that there are some basic hurdles that will define the next 10-20 years of blockchain applications. » Read More
I’ve never been so happy sleeping so little. For five days this November, I taxed my mind and my laptop crunching through education policy data on the way to submitting an entry in the 2017 Data Open Championships, organized by Correlation One and Citadel. » Read More
Monday is a dizzying mashup of adrenaline-tinted memories. Walking the floors of the New York Stock Exchange, watching old-time traders tell about the bullpen days. Sitting in the palatial elegance of the NYSE Board Room, listening to Ken Griffin share stories of teamwork, » Read More