Now fully dedicating myself to PlantingSpace projects and participating in Polkadot Network.

I spend majority of time on Taiga - a project with big ambitions - creating a framework for composition of all data and algorithms known to us, which could help to leverage them better. This can hopefully bring us a step closer towards AI and understanding of our own cognition.

Previously I co-founded the Polkadot Network and built/ran the organisation which supports it - Web3 Foundation. The Foundation does fundamental research (cryptography, algorithms, networking, economics), works with development teams, provides grants, educates and develops the community (e.g. via events like Web3 Summit) around decentralised web protocols.

Before starting the Web3 Foundation I worked at Parity Technologies on decentralised protocols with both public and consortium applications in mind. I primarily worked on consensus algorithms, coming up with a simple consensus algorithm Aura and smart contract based validator selection mechanism, both of which has been used for many live appications. I also worked on privacy/confidentiality preserving protocols.

I also spent some time at BlueCrest Capital developing financial risk technology, at Purse.io building one of the most popular legitimate Bitcoin use-cases and at BAE Systems designing and creating a proof of concept tactical mesh network for the Morpheus Programme.

At the University of Oxford I worked in the Machine Learning Research Group under Frank Wood. I used a new approach to machine learning based on probabilistic programming (Anglican language) to explore procedural knowledge representation and build a factoid question answering system. Before that I worked on designing a process for saving the essence of human brain digitally.

Otherwise at Oxford I spent a bunch of time on learning about and discussing philosophy with friends and at Socrates Society or Jowett Society.

In highschool and before I spent a lot of time on physics, doing various projects as part of Krajowy Fundusz na rzecz Dzieci such as analysing binary stars, measuring properties of conductive polymer films, building and using laser Doppler velocimeter.

Me