We are pleased to announce two recent promotions in the School of Mathematics.
Greg Blekherman, Promoted to Full Professor
Dr. Grigoriy Blekherman works in the interdisciplinary area of applied algebraic geometry and seeks to combine techniques from real and complex algebraic geometry and convex geometry to address fundamental questions in several areas of mathematics, with relevance to engineering, physics and theoretical computer science.
Prof. Blekherman's research has been recognized by both a Sloan Research Fellowship as well as a NSF CAREER Award.
In addition to superior research, Prof. Blekherman's excellence in teaching has been recognized by the CETL-BP Junior Faculty Teaching award, and by selection as Provost Teaching and Learning Fellow. Prof. Blekherman sits as an associate editor of SIAM Journal on Applied Algebra and Geometry, and among other prestigious speaker invitations has been an invited lecturer at several international graduate schools.
Before joining Georgia Tech in 2011, Dr. Blekherman held postdoctoral positions at Microsoft Research, Virginia Bioinformatics Institute, Institute for Pure and Applied Math at UCLA, and UC San Diego. He received his Ph.D. from the University of Michigan in 2005.
Prof. Blekherman's research Interests include Applied Algebraic Geometry, Convex Geometry and Optimization, and Mathematical Biology. (See his web page for more info)
My work focuses on the interplay between convex and algebraic geometry (both real and complex), especially in the area of sums of squares approximations to nonnegative polynomials, and tensor ranks and their generalizations.
Molei Tao, Promoted to Associate Professor with Tenure
Dr. Molei Tao joined Georgia Tech as an assistant professor in 2014. The main theme of Prof. Tao's research is to analyze, simulate and control systems characterized by multiple scales, geometric structure, and randomness.
As an applied & computational mathematician who develops theoretical tools to solve practical problems, Dr. Tao has published in leading journals in both math and applied disciplines, as well as high profile conference papers. He has received funding from multiple sources, including an NSF CAREER Award in 2019. Prof. Tao has been actively mentoring Ph.D. students and postdocs, as well as student researchers at other levels.
Prior to joining Georgia Tech, Dr. Tao was a Courant Instructor at NYU and a postdoctoral researcher at Caltech. He received his Ph.D. in Control & Dynamical Systems with a minor in Physics in 2011 from Caltech.
Prof. Tao designs algorithms for faster and more accurate computations and develops mathematical tools to answer scientific questions to analyze/design engineering systems. Examples include: (see his web page for more info)
- Extrasolar and Solar planetary dynamics
- Rare events modeling and quantification
- The resonant control of mechanical systems, including the engineering problems of energy transfer and harvest
- The interplay between dynamics and machine learning
My main objective is to analyze, simulate, and control systems characterized by multiple scales, geometric structures (e.g., symplecticity), and randomness.