Difference between revisions of "Fellow:Howard Brown"
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| − | [[File:HowardBrown.jpg|thumb|none]]Howard Brown is an undergraduate student at Hampton University majoring in Computer Science with a minor in Mathematics. His research experience includes optical refrigeration of rare-earth doped solids, solid state laser development and spectroscopy, | + | [[File:HowardBrown.jpg|thumb|none|HowardBrown.jpg]]Howard Brown is an undergraduate student at Hampton University majoring in Computer Science with a minor in Mathematics. His research experience includes optical refrigeration of rare-earth doped solids, solid state laser development and spectroscopy, materials science, high performance computing and artificial intelligence. He spent a decade as a senior editor at a media outlet establishing and maintaining relationships with companies such as Microsoft, Sony, Nintendo and managed a team of writers across multiple entertainment industries. He has experience working at an NGO as well as mentoring high school students in nanoscience. Upon graduation he plans to pursue a PhD in computer science while creating a discipline-agnostic general form model for solving nonlinear problems across massive data sets. |
Revision as of 19:49, 23 February 2014
Howard Brown is an undergraduate student at Hampton University majoring in Computer Science with a minor in Mathematics. His research experience includes optical refrigeration of rare-earth doped solids, solid state laser development and spectroscopy, materials science, high performance computing and artificial intelligence. He spent a decade as a senior editor at a media outlet establishing and maintaining relationships with companies such as Microsoft, Sony, Nintendo and managed a team of writers across multiple entertainment industries. He has experience working at an NGO as well as mentoring high school students in nanoscience. Upon graduation he plans to pursue a PhD in computer science while creating a discipline-agnostic general form model for solving nonlinear problems across massive data sets.
