Roza Galeeva is a senior lecturer in the Department of Applied Mathematics and Statistics. She has extensive experience with more than 18 years with commodity derivatives—modeling, pricing, and risk management. She has served as a senior quantitative analyst at various major U.S. energy companies, including 13 years, most recently, at Morgan Stanley, and has taught courses in mathematics in different countries in five languages.
Galeeva has a PhD from Moscow State University in mathematical physics. She has published papers in geometry, dynamical systems, and financial engineering in major mathematical and finance journals. She returned to academia from industry in 2017 by teaching various graduate courses at NYU in financial engineering and working with NYU students on research projects on commodity derivatives.
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With an interest in commodity derivatives, Galeeva discusses her research, interests, and hopes to accomplish here at Johns Hopkins.