Joel Spruck

J.J. Sylvester Professor

Krieger 408B
Curriculum Vitae
Personal Website

Honors and Awards

Joel Spruck is a J.J. Sylvester Professor in the Department of Mathematics at Johns Hopkins and works in the areas of elliptic partial differential equations and geometric analysis. He has worked extensively on fully nonlinear elliptic equations with applications to geometry, mean curvature flow, free boundary problems with geometric constraints, semilinear elliptic equations and mathematical physics.

In collaboration with David Kinderlehrer, Louis Nirenberg and Luis Caffarelli, Professor Spruck wrote important papers on free boundary regularity and existence of solutions with geometric constraints.

With Basilas Gidas and Luis Caffarelli he developed a measure theoretic version of moving planes and developed the theory of asymptotic symmetry with important applications to semilinear elliptic pde and the Yamabe problem.

In a series of papers with Luis Caffarelli, Louis Nirenberg (and J.J Kohn for the complex Monge-Ampere equation) he initiated an explosion of work in nonlinear elliptic equations with applications to geometry. The work on implicity defined fully nonlinear elliptic equations (functions of the eigenvalues of a matrix or tensor) has been particularly important.

In collaboration with L.C. Evans, Spruck successfully applied PDE techniques to define and study a global in time generalized mean curvature flow. This work stimulated the development of moving interface and phase transition problems.\

Working with Bo Guan, he greatly extended the scope of the CKNS papers by establishing the "subsolution existence theorem'' which allows domains of arbitrary geometry assuming the existence of a subsolution. This is particularly powerful for the real and complex Monge-Ampere equation and leads to many important geometric applications.

2012-2013 Simons Fellowship

Inaugural Fellow of the American Mathematical Society (AMS)

1999-2000 Guggenheim Fellowship

1995 prize of the Institut Henri Poincare for the best paper in Nonlinear Analysis