Scott Alfeld

Note: Currently Under Construction

Feel free to amuse yourself with BopIt.

Short Bio:

I'm Scott Alfeld. I was born in Salt Lake City, Utah, in 1987. I'm currently a student in Computer Science, studying Artificial Intelligence and Machine Learning. I completed my Bachelor's degree at the University of Utah's School of Computing in 2008 where I worked with Hal Daumé III.

For more information on my academic background, see my CV.

Selected Lectures I've Given:

The following are the notes for various lectures I've given over the years. Feel free to use these notes as a reference, but please let me know if you do (partially for my own records, partially for the ego boost). Please email me: alfeld AT cs.utah.edu if you use my notes in part or full.

Expanders -- The Expander Mixing Lemma and Error Amplification for BPP.
Algebraic Fingerprinting -- Freivalds' Technique, Verifying Polynomial Identities.
Active Learning for FSAs -- Efficiently (and exactly) learning Finite State Automata given limited blackbox access.
Measures and Metrics -- A brief introduction to Measures and Metrics, as well as Bregman Distance Measures.
Min-Cut and Randomization -- The connection between Min-Cut and Max-Flow, as well as the Contraction Algorithm.
The PCP Theorem -- An introduction to Probabilistically Checkable Proofs.

Family:

My father, Dr. Peter Alfeld, is a professor of Mathematics at the University of Utah.
My mother, Dr. Michelle Poulin-Alfeld, works at The Black Sheep Wool Company in Salt Lake City, Utah.
My brother, Dr. Christopher Alfeld, is the Director of Research at Qualys.
My sister, Anna Alfeld, is currently pursuing her Master's degree in Library Science.

Misc:

See my images page. A few of my favorite quotes can be found here.