معرفی
Nadia Drenska is an Assistant Professor at Louisiana State University, specializing in the intersection of Partial Differential Equations (PDEs), optimal control theory, and machine learning. She holds a PhD from the Courant Institute of Mathematical Sciences, NYU, and has held postdoctoral positions at the University of Minnesota and Johns Hopkins University.
Education:
- PhD in Mathematics, Courant Institute of Mathematical Sciences, NYU
- Dual BSc in Mathematics and Applied Mathematics (Honors), Brown University
- Graduate of Sofia High School of Mathematics, Bulgaria
Research Interests:
Her research focuses on applying PDEs, optimal control, and graph theory to machine learning, finance, and data science. Key areas include adversarial games in prediction, semi-supervised learning via p-Laplacian approaches, and continuous methods for discrete problems. She has developed frameworks for algorithm boosting, investment strategies, and body composition analysis through 3D imaging collaborations with Pennington Biomedical Research Center.
Awards and Honors:
- Moses Greenfield Prize for Outstanding Interdisciplinary Studies, Courant Institute (2016)
- Rohn Truell Prize for Outstanding Undergraduate Student, Brown University (2012)
- Multiple Olympiad prizes in Math and Physics, Bulgaria (2005-2007)
Grants and Collaborations:
Recipient of research grants supporting her work on PDE applications in machine learning and finance. Collaborates with institutions like Pennington Biomedical on body composition projects.
Labs and Teams:
Active in interdisciplinary teams at LSU, focusing on PDE-driven machine learning solutions and financial modeling.
