AI & ML interests

Bayesian optimization, natural language processing, large language models, cheminformatics, materials informatics, generative models

Acceleration Consortium_Colour U of T Lock-Up_Print

Hi there ๐Ÿ‘‹

๐Ÿ™‹โ€โ™€๏ธ The Acceleration Consortium (AC) at the University of Toronto (https://acceleration.utoronto.ca/) is a global community of academia, government, and industry members. Its purpose is to accelerate the design and discovery of a wide range of new materials and molecules, from renewable energy and consumer electronics to drugs. Using self-driving laboratories (SDLs), the AC leverages the power of artificial intelligence, robotics, engineering, and chemistry to dramatically reduce the time and cost of bringing these advanced materials to marketโ€”from an average of 20 years and $100 million to as little as one year and $1 million. Recently, the AC was awarded a $200-million grant by Canada First Research Excellence Fund (CFREF) to support the development of SDLs.

The AccelerationConsortium HuggingFace organization is intended to host datasets, interfaces, and models for on-demand usage, such as the optimization benchmarks for the Bayesian Optimization Hackathon for Chemistry and Materials and web apps for remote control of scientific hardware.

models

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