Alex Wormuth Email & Phone Number

Trade NFTs at the speed of light ⚡

San Francisco, US

Helping game developers leverage blockchain technology to build open economy games.

Pixels.fund is a crypto trading fund powered by machine learning. Our proprietary modeling framework allows us to quickly generate models, test new hypotheses, and generate unique insights about market behavior.

Dallas, Texas, US

Worked with partners to build and maintain digital clinical trials, including a phase IV clinical trial for Pfizer's COVID-19 vaccine.

London, England, GB

Developing solutions and providing support for our partner game studios in North America.

London, England, GB

Worked with NetEase to build an experimental multiplayer VR game. This role required a broad understanding of technical concepts, including game engine architecture, game development processes, distributed systems, and a deep product knowledge of SpatialOS.SpatialOS is a cloud platform for building and deploying distributed simulations, most commonly for.

London, England, GB

Built simulations to help governments and enterprises operate with better foresight.

HexCare (rebranded as Qolty -- Qolty.com) is a platform that integrates subjective assessments (i.e. NIH PROMIS, ecological momentary surveys) with objective measurements such as the iHealth Track for blood pressure. We focus on clinical research applications for studies large and small. We seek to help scientists study effective interventions while giving.

Washington, DC, US

• (2013 - 2015) Built web and VR applications to visualize planetary and earth science data in ways that allowed scientists to gain insight from large data sets.
• Used d3 and three.js to build modular data visualization widgets
• Developed a 3D Mars terrain pointcloud that can handle over 14M points
• Integrated the Oculus Rift so scientists can ’walk’ on Mars(2016 - 2017) Trained models to classify Cassini imagery.
• Trained 18 models to classify rings, planets, starfields, and more
• Classified over 300,000 images to improve search capabilities

Mountain View, CA, US

• Designed and implemented the machine learning pipeline for Google's Technical Infrastructure Resource Economy (TIRE) team. TIRE is responsible for planning and distributing machine resources for nearly every team at.
• Predicted utilization 1-month into the future with 97% accuracy
• Developed a pipeline for teams to build, test, and deploy new models
• Deployed a Go library allowing systems to generate predictions