Dana Cortade is a Technical Project Manager at Align to Innovate, a scientific non-profit working at the interface of biology, AI, and lab automation. Born and raised in Arizona, USA, she received her Bachelors in Optical Sciences and Engineering from the University of Arizona (Tucson, AZ, USA) and her Masters and PhD in Materials Science and Engineering from Stanford University (Stanford, CA, USA). Her doctoral work focused on fighting the opioid epidemic by developing new tools to monitor opioids and increasing access to nonpharmacological treatments, like hypnosis. Now living in France, she is passionate about innovation in life science and how human psychology impacts the evolution of experimental research.
Public databases, such as the PDB, and community-driven benchmarking, such as CASP, have advanced the state of the art of sequence-to-structure prediction. Align to Innovate, a scientific non-profit, is building upon these successes to address protein sequence-to-function prediction. We will discuss initial results from our suite of programs aiming to create living datasets for machine learning and benchmarking opportunities for sequence-to-function ML models, supported by automated, open-source methods.
Senior Representative, Astrix
Additional panelists TBC
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