Jeremiah Johnson is a mathematician working at the intersection of computational algebra and machine learning. Dr. Johnson’s recent research focuses primarily on applications of machine learning in magnetospheric physics, where he develops techniques for understanding auroral morphology and forecasting geomagnetically induced currents (GICs). He also works on questions in representation learning, medical imaging and computer-assisted diagnosis, generative modeling, structured prediction, and best practices in data science education. His recent work is supported by NASA, the National Science Foundation, NH-INBRE, and NVIDIA Corp., including a 2015 GPU Computing Education Center Grant from NVIDIA Corp. that established a GPU cluster at UNH-Manchester to support education and student research in machine learning, neural networks, and high-performance computing. Please refer to his publications to read more about his work.
Dr. Johnson led the development of UNH's Bachelor of Science in Analytics & Data Science degree program, which he now codirects along with UNH's graduate certificate program in Analytics & Data Science. These innovative and timely programs combine applied and theoretical aspects of data science to produce well-rounded graduates with a broad technical skillset who understand how to use these skills to solve practical problems and make an impact. Dr. Johnson regularly teaches courses in the program in mathematics, machine learning, and data science.
Dr. Johnson is an alumnus of the University of New Hampshire, earning his Ph.D in mathematics in 2010 under the supervision of Dr. Edward Hinson.
Dr. Johnson is a frequently requested keynote speaker and consultant. For speaking engagements, consulting requests, or other inquiries, please contact him directly at firstname.lastname@example.org.