Jeremiah Johnson is a mathematician working at the intersection of computational algebra and machine learning. Dr. Johnson’s recent research spans a variety of application areas including representation learning, heliophysics, medical imaging, generative modeling techniques for structured prediction in computer vision, and best practices in data science education. His recent work has been supported by the National Science Foundation, NH-INBRE, and NVIDIA Corp. Dr. Johnson's 2015 GPU Computing Education Center Grant from NVIDIA Corp. established a GPU cluster at UNH-Manchester that supports education and student research in machine learing, 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. This innovative and timely program is available on two campuses of the University of New Hampshire, and includes both applied and theoretical program tracks and corresponding minors. Dr. Johnson codirects this program and directs UNH's graduate certificate program in Analytics & Data Science. Dr. Johnson regularly teaches courses 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.

For speaking engagements or other inquiries, please contact Dr. Johnson directly at jeremiah.johnson@unh.edu.