Daniel Orozco is a Senior Machine Learning Engineer and PhD Fellow at Aarhus University, specializing in Greenhouse Gas Monitoring and Innovation. With a diverse background that includes roles as a Machine Learning Advisor at DeepAgro and a Data Scientist at DBlandIT, Daniel has contributed to various projects in biotech and healthcare. They have also excelled as a Computer Vision Developer at Clarifresh, creating quality control algorithms for agriculture. Previously, Daniel pursued a PhD candidate position at Universidad de Buenos Aires, focusing on genomic analysis related to disease risk estimation.
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