{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/746da22721894bcd944086cd0dd3face\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/746da22721894bcd944086cd0dd3face-00001.gif","duration":1576.541633,"title":"William Stoy -- Darwin Superconductors","description":"William is borrowing techniques from the pharmaceutical industry to develop a fully automated platform for discovering superconductors and other materials. An ideal superconductor could revolutionize power transmission, quantum computing, and medical imaging. However, current superconductors are either brittle and are very difficult to form into wires or are only superconductive at extremely low temperatures. Without a predictive theory for this phenomenon, we are left to experimentally discover new materials but several engineering bottlenecks have slowed the rate of synthesis and discovery of new superconducting materials. The pharmaceutical industry has many techniques to overcome these challenges that haven’t been applied to materials yet.\n\nRead the full proposal (https://drive.google.com/file/d/1tLcxpbSZSnf3qakENuqEIK-oPV2FBkg8/view?usp=sharing)\n\nDr. William Stoy’s research has focused on engineering design for high throughput automation in basic neuroscience and the pharmaceutical industry. His efforts have led to walk-away automation of the traditionally painstaking and manual process of patch clamping in primary neuron cultures and in vivo. This work created a pipeline that allows drug companies to screen large libraries of drugs on living brain tissue and allows neuroscientists to design new fluorescent proteins for use in the brain. His postdoctoral work has focused on the creation of a microfluidic device that improves protein screening throughput by a factor of 1000 by miniaturizing large robotic platforms into a lab-on-a-chip. Moving forward, he will apply these techniques of miniaturization and automation to solid-state material discovery for superconductors, batteries, and solar cells.\n\nEmail: ws2574@columbia.edu"}