🔭 I am currently working on

• In DeFi
  • In the DeFi space I prefer to work with anon identities but I am open to disclose some of them in the right discussion, here are some projects I am working on atm
    • Solidity
      • Based in Perpetuals
        • Building an Algorithmic Stablecoin (anon)
        • Building a new DEX (anon)
        • Building Synths (anon)
  • Researching on Integrating protocols like Perpetual Protocol, Squeeth and more
  • Arbitrage Bots
  • Researching on Oracle: mostly Chainlink and the Umbrella Network

🔎 I am spending a relevant amount of time researching and publishing in areas like DeFi and the intersection between ML and Quant Trading, here are some examples

• Curated publications (updated almost weekly)
  • 🧵Why Arbitrum Fees surpassed Ethereum ones at the end of June?
    • Also on LinkedIn
  • 🧵 DeFi Data Analysis - Weekly
  • 🧵 Quant Trading and Machine Learning
• Some Twitter Threads of mine
  • 🧵 Amazing announcement by @Scroll_ZKP : achieved EVM compatibility at bytecode-level. what does it mean
  • 🧵 EIP 4844 TLDR, introducing a new type of TX: a TX carrying a blob of data? Why this? Why a "blob"? What is it for?
  • 🧵 How does the depositReceipt mechanism in Ribbon Finance work
  • 🧵 How does the UniV3 Unique Pool ID System work
  • 🧵 CFMM - Nerdy math thread
  • 🧵 DEX
  • 🧵 Options Pricing
  • 🧵Random #DeFi pill of the day
  • 🧵 Information Geometry - Nerdy math thread

💪 Something I have worked on

• ML
  • Some recent peer reiview papers of mine
    • Reinforcement Learning
      • (HSCC 2021) A Few Lessons Learned in Reinforcement Learning for Quadcopter Attitude Control
        • With the Uber Elevate Team
• Spent 1.5Y at the Uber Elevate research facility in Paris researching topics at the intersection of safety and machine learning
• Spent 4Y at Ambarella researching and implementing computer vision algorithm on Ambarella's chips
• Spent 4Y at VisLab developing technology for autonomous cars since 2012 and helping developing the company from the beginning
• In the previous 8Y I have worked on Software Engineering stuff
• Programming Languages I have worked with: C++, Python, Solidity, JS/TS, Scala, ...
• Frameworks I have used
  • ML: Pytorch, Tensorflow
  • DeFi: Foundry, Hardhat

📚 Studied

• Formal Education
  • PhD in Computer Vision and Robotics
  • MSc Computer Engineering
  • Second degree in Physics (Statistical Physics)
• Self educated in
  • Math
    • Geometry
    • Functional Analysis
• Research Interests
  • ML
    • Theoretical ML
      • Theory of Deep Learning
      • The intersection between Information Geometry and Machine Learning

🌱 I’m currently learning ...

• DeFi

  • about the expanding DeFi ecosystem, currently focusing mostly on Ethereum and Solana

• Languages

  • Learning Starkware - Cairo

• Quant

  • StatArb
    • Deep Learning Statistical Arbitrage

• Some ML stuff

  • Paper Summaries
    • ICML 2021 - Negative Data Augmentation

📫 How to reach me:

• DM me on
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