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David
Alber
Siebel Center
for Computer Science
University of Illinois at Urbana-Champaign 201 North Goodwin Avenue Urbana, IL 61801
From the UIUC CS Department website (annotation and highlighting my own addition):  04/13/07 Update: Success! Academics I am a Ph.D. candidate at the University of Illinois at Urbana-Champaign in Computer Science. Most of my emphasis in graduate school has been on computational mathematics -- especially numerical linear algebra. I also have a growing interest in other areas of computational mathematics, such as cryptography. My current research focus is on coarse grid selection for algebraic multigrid methods. In the past I have worked on other multigrid related topics such as the solution of Maxwell's equations. You can view a diagram of my mathematical genealogy here (pending graduation). 
To learn more about my academic and research background, please view my
Curriculum
Vitæ [pdf]. If you prefer a more compact document, view my résumé [pdf].Research Interests
Publications and Talks Journal Papers
Brief Sketch I was born in Iowa City, Iowa, and I grew up in the small town North Liberty, which is less than ten miles north of Iowa City. I attended the University of Iowa for my undergraduate education. Becoming a computer scientist was rather accidental. I started as only a biology major, but I decided to take a couple of programming classes since I enjoyed working with computers. Eventually it turned into a minor, and then a major. 
I decided to attend graduate school in computer science not because I was no longer interested in biology, but because I felt that computer science would give me more flexibility. I was interested not only in biology, but also astrophysics, aerodynamics, and other fields. Since that decision I have been at the University of Illinois at Urbana-Champaign in the Department of Computer Science, where I am a student of Luke Olson and Paul Saylor. My interests lie mostly in linear solvers, which are a class of algorithms used to solve systems of algebraic equations of the form Ax = b, where A is an n x n matrix. This is an important problem to solve because many physical problems are modeled mathematically, and then discretized into a problem of the form above. This is, in fact, a route that can lead me to working on problems for many different fields. I spent several summers at the Center for Applied Scientific Computing at Lawrence Livermore National Lab.
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