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Michael VanDyke, Ph.D. has a diverse work experience spanning various fields. Michael is currently working at Phase Genomics as a Senior Machine Learning Engineer since November 2020. Prior to that, they worked as a Machine Learning Engineer at HALO Diagnostics (HALO Dx) from June 2019 to October 2020.

Before transitioning to the field of machine learning, Michael worked as a Data Engineer at Halo Tech Software from March 2018 to May 2019. Michael gained further experience in data engineering during their time as a Data Engineering Fellow at Insight Data Science from September 2017 to February 2018.

Michael also has experience in the gaming industry, where they served as the Technical Lead in the management team at Clockwork Games and Events, LLC from January 2010 to August 2017. Additionally, they worked as a Physics Faculty member at Blinn College from September 2009 to August 2017.

In the realm of academia, Michael worked as a Research and Teaching Assistant in Physics Education at Texas A&M University from June 2009 to December 2013. Michael also held the role of a Visiting Lecturer at Texas A&M University from January 2012 to August 2012. Prior to that, they worked as a Research and Teaching Assistant in High Energy Physics at Texas A&M University from September 2006 to May 2009.

Michael started their professional career as a Web Programmer at Northern Illinois University from September 2005 to August 2006.

Overall, Michael VanDyke, Ph.D. has a well-rounded background in machine learning, data engineering, physics education, and web programming, with experience in both industry and academia.

Michael VanDyke, Ph.D. has a strong educational background in physics. Michael completed their Bachelor of Science (BS) in Physics at Northern Illinois University from 2003 to 2006. Michael then pursued further studies and obtained a Master of Science (MS) degree in Physics at Texas A&M University, where they studied from 2006 to 2009. Michael's educational journey culminated in him earning a Doctor of Philosophy (Ph.D.) degree in Physics from Texas A&M University, which they completed between 2009 and 2013.

In addition to their formal education, Michael VanDyke has obtained several certifications to enhance their knowledge and skills in the field of artificial intelligence and deep learning. Michael completed the "Algorithmic Toolbox" course at the University of California in March 2021. In November 2020, they completed three specializations: "Generative Adversarial Networks (GANs) Specialization," "Natural Language Processing Specialization," and "AI for Medicine Specialization," all offered by deeplearning.ai. Michael also completed the "Protecting Human Research Participants Online Training" certification in April 2020, provided by Protecting Human Research Participants (PHRP) Online Training, Inc. Furthermore, Michael has received multiple certifications from deeplearning.ai, including the "TensorFlow: Data and Deployment Specialization" and "Tensorflow Developer Professional Certificate" in April 2020, the "Deep Learning Specialization" in March 2020, and the "Deep Learning Engineer Assessment" by Workera in October 2020. Prior to these certifications, they completed the "Machine Learning" course at Stanford University in February 2020 and the "Applied Data Science with Python Specialization" at the University of Michigan in March 2018.

It is important to note that no assumptions beyond the provided information have been made regarding Michael VanDyke's education history.