Daniel Burillo
About Daniel Burillo
Daniel Burillo is an R&D Senior Systems Analyst at Sandia National Laboratories and an Independent Consultant at SDManaged, with a background in engineering and extensive experience in research and consulting.
Current Roles and Responsibilities
Daniel Burillo currently holds dual roles. He is an R&D Senior Systems Analyst at Sandia National Laboratories, where he began in 2022. Concurrently, he serves as an Independent Consultant at SDManaged since 2020, based in Los Angeles, California. His responsibilities in these positions involve systems analysis, data analytics, and providing expert consulting to develop innovative solutions.
Past Professional Experience
Daniel has an extensive professional background, previously working at the California Energy Commission as a Utilities Engineer from 2019 to 2020. Before that, he was associated with Arizona State University in dual roles as a Research Associate from 2014 to 2018 and Assembly President of the Graduate and Professional Student Association (ASU GPSA) from 2014 to 2016. His other notable roles include time at PwC as an Experienced Associate from 2011 to 2013 and at Clean Coalition as a Program Manager from 2009 to 2010.
Educational Background and Credentials
Daniel Burillo holds a Doctor of Philosophy (PhD) in Civil, Environmental, and Sustainable Engineering from Arizona State University, completed between 2014 to 2018. He earned a Master of Science (MS) in Civil and Environmental Engineering from Carnegie Mellon University in 2011. He completed his undergraduate studies with a Bachelor of Science (BS) in Electrical and Computer Engineering from the University of Arizona. Additionally, he holds a Professional Engineer License in Electric Power in the State of California.
Research and Publications
Daniel has contributed significantly to academic research, with publications in journals such as Applied Energy and Energy Policy. His research focuses on electricity infrastructure planning, forecasting complex systems, and operations with an emphasis on extreme weather and reliability. He has developed scientific tools and quantitative methods utilizing big data, artificial intelligence (AI), machine learning (ML), and geographic information systems (GIS).
Additional Noteworthy Activities
In addition to his professional and academic achievements, Daniel has been an invited speaker on multiple occasions, showcasing his expertise in engineering and data analytics. He has also traveled to over 20 countries, bringing a broadened perspective to his work. His diverse interests include participation in uncommon sports, where he has won several awards.