New York, New York, United States
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About

I am the CEO and co-founder of Oscar Health, a consumer-focused health insurer founded in…

Articles by Mario

  • Simulating the World Cup in Church

    Church is a cool programming language: it is probabilistic (it can sort of run forward but also backwards), and it is…

    3 Comments
  • Claude Code for Self-Coaching

    Claude Code is having a moment as a top-notch software development tool, but increasingly also as a powerful tool for…

    13 Comments
  • Do the Laws of Computation Imply That We Will Never Understand Machine Learning?

    A big issue with language models: they are black boxes. One token generated by Llama-3 emerges from operations…

    7 Comments
  • Superconductivity and Quantum Field Theory

    Last year, the discovery of a supposed room temperature superconductor blew everyone's minds. That didn't work out, but…

    7 Comments
  • Needle in a Haystack: Using LLMs to Search for Answers in Medical Records

    Part 1 of a 3 part series We are constantly thinking about how to make the workflows of clinicians less tedious, so…

    13 Comments
  • Curious Language Model Limitations

    Language models are awesome and all, but my favorite research papers are those that show where they fail. It's easier…

    3 Comments
  • Nature Is a Lazy Mathematician, Part 3

    We are here to decode the sentence: "A spinor is the most basic mathematical object that can be Lorentz-transformed"…

  • Nature Is a Lazy Mathematician, Part 2

    We are here to decode the sentence: "A spinor is the most basic mathematical object that can be Lorentz-transformed"…

  • Nature Is a Lazy Mathematician, Part 1

    One of the deepest possible questions is this: what was here first, our world, or mathematics? I think most people…

    1 Comment
  • Quantum Mechanics & The Schrödinger Equation

    If you watched Oppenheimer, you heard them talk a lot about the mysteries of quantum mechanics, and how crazy and…

    10 Comments

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  • Oscar Health

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Publications

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Patents

  • Method and system for reputation management in peer-to-peer networks

    US 10/989,293

    Methods to minimize the impact of malicious peers on the performance of a peer-to-peer system. The system computes a global trust value for a peer by calculating the left principal eigenvector of a matrix of normalized local trust values, thus taking into consideration the entire system's history with each single peer. Algorithms for performing such computations in a scalable and distributed manner are provided. Rewarding highly reputable peers with better quality of service encourages…

    Methods to minimize the impact of malicious peers on the performance of a peer-to-peer system. The system computes a global trust value for a peer by calculating the left principal eigenvector of a matrix of normalized local trust values, thus taking into consideration the entire system's history with each single peer. Algorithms for performing such computations in a scalable and distributed manner are provided. Rewarding highly reputable peers with better quality of service encourages non-malicious peers to share more information and to self-police their own information.

    See patent

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