Nicholas Dana is currently the Principal ML/AI Engineer and Data Scientist at Elephas, where they leverage their expertise in AI to enhance prognostic analytics in cancer immunotherapy. They hold a Ph.D. in Bioengineering from The University of Texas at Austin, where they developed advanced image-processing algorithms and filed for a patent. Prior to their current role, Nicholas worked as a Computer Vision Scientist at GeoVisual Analytics and as an Algorithm Engineer at Essen BioScience. Their journey in the field has included impactful research at the University of Utah, contributing to significant advancements in image registration and database management.
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