Michael Fuller, Ph.D.
About Michael Fuller, Ph.D.
Michael Fuller, Ph.D., is a Software Engineer at Sandia National Laboratories and a Model Architect at Bank of America with extensive experience in machine learning, data science, and statistical modeling.
Current Companies
Michael Fuller is currently working as a Software Engineer at Sandia National Laboratories in Albuquerque, New Mexico. He joined the role in 2022. Additionally, he is a Model Architect at Bank of America, a position he has held remotely since 2021.
Previous Roles
Michael Fuller has held several significant positions in his career. From 2020 to 2021, he was a Machine Learning Engineer at Silent Falcon UAS Technologies in Albuquerque, New Mexico. Prior to that, he worked as a Senior Data Scientist at Xpansiv from 2018 to 2020. He also spent six years from 2012 to 2018 at Impact Analysts and UNM, engaged in software design and development as a Statistician.
Academic Positions
Michael Fuller has extensive teaching and research experience. He served as an Adjunct Professor in the Department of Biology at the University of New Mexico from 2011 to 2018. He also completed postdoctoral fellowships at the University of Toronto from 2007 to 2010 and the University of Tennessee from 2004 to 2007.
Educational Background
Michael Fuller holds a Ph.D. in Biology/Ecology from The University of New Mexico, obtained in 2004. Prior to this, he received a Certificate in Complex Systems from Santa Fe Institute in 1999. He earned an MS in Zoology from the University of Oklahoma in 1998 and a BS in Zoology from California State Polytechnic University-Pomona in 1994.
Skills and Expertise
Michael Fuller is proficient in utilizing OpenCV and Keras/TensorFlow for software development. He possesses strong skills in process management and quality assurance. He is experienced in designing strategic plans for improving analytical methods and is proficient in statistical and predictive modeling using R, Python, and C++. Additionally, he has a strong background in anomaly detection and scientific research.