Daniel J. Woolridge is a highly skilled machine learning engineer with extensive experience in developing and implementing innovative machine learning solutions. Currently serving as a Staff Machine Learning Engineer at Recharge since August 2025, Daniel previously held the position of Senior Machine Learning Scientist at Graft and Machine Learning Data Scientist at Vody, where significant contributions included productizing research advancements and enhancing natural language processing applications. Daniel's background also includes roles in data analysis and research at organizations such as DIVERCITY and Tribogenics, as well as research scientist experience at Quantum Gravity Research. Daniel holds a Master's degree in Physics from Lancaster University and has completed studies at Michigan State University and Delft University of Technology.
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