Michael Shaughnessy
Michael Shaughnessy is a skilled professional with a diverse background in various technical fields, including machine learning, algorithmic game theory, computational advertising, and dynamic systems control.
He has a strong expertise in software engineering, particularly in Python programming, Linux systems, and AWS cloud services.
Michael holds a B.S. in Agricultural and Biological Engineering from Cornell University, a Ph.D. in Physics from the University of California, Davis, and has also studied at Helena High.
Throughout his career, Michael has held key positions at reputable organizations, such as Technical Fellow at Exponential, Technical Fellow and Machine Learning Team Lead at AppThis LLC, Advisor at Pushup Social, and Managing Partner at Flourish Data.
He has also contributed his skills as Data Science / Data Engineering at RTBiQ, Inc., R&D Engineer at Synopsys, Postdoctoral Appointee at Sandia National Laboratories, Lawrence Scholar at Lawrence Livermore National Laboratory, and in various research and teaching roles.
Michael's professional journey includes experiences in fields ranging from electronic structure and atomistic methods to tissue engineering and greenhouse research, showcasing his versatility and wide-ranging interests in technology and scientific endeavors.