About the Authors
Dana Dachman-Soled
Department of Computer Science
Columbia University
New York, NY
dglasner[ta]cs[td]columbia[td]edu
Department of Computer Science
Columbia University
New York, NY
dglasner[ta]cs[td]columbia[td]edu
Dana Dachman-Soled (a.k.a. Dana Glasner)
is a Ph.D. candidate in the Department of Computer Science at Columbia University,
supervised by Tal Malkin and Rocco Servedio.
She received her undergraduate degree in Computer Science
from Yeshiva University. Her research interests
include property testing and cryptography. She enjoys life in New
York City with her husband and their
17-month-old (at the time of submission) son.
Homin K. Lee
Department of Computer Science
University of Texas at Austin
homin[ta]cs[td]utexas[td]edu
http://www.cs.utexas.edu/~homin
Department of Computer Science
University of Texas at Austin
homin[ta]cs[td]utexas[td]edu
http://www.cs.utexas.edu/~homin
Homin K. Lee
is a postdoctoral researcher under the direction of
Adam Klivans
at the
University of Texas at
Austin.
He received his Ph.D. from
the Department of Computer Science at Columbia University
where he was advised by
Tal Malkin and Rocco A. Servedio.
His thesis was titled
On the Learnability of Monotone Functions,
and his research interests include
computational learning theory and
the analysis of Boolean functions.
He is often hungry.
Tal Malkin
Assistant Professor
Department of Computer Science
Columbia University
New York, NY
tal[ta]cs[td]columbia[td]edu
http://www.cs.columbia.edu/~tal
Assistant Professor
Department of Computer Science
Columbia University
New York, NY
tal[ta]cs[td]columbia[td]edu
http://www.cs.columbia.edu/~tal
Tal Malkin received her Ph.D. in
Computer Science from MIT in 2000,
under the supervision of
Shafi Goldwasser.
After spending three years at
AT&T Labs Research,
she joined the
Department of Computer Science
at Columbia University,
where she heads the
Cryptography Lab.
Her research interests are in cryptography, security, complexity theory,
and related areas, with foundations of cryptography being closest
to her heart. She enjoys living in New York City and spending time
with (and without) her husband, two sons, and cat. In theory she
loves theater, ice hockey, editing the journal
"Theory of Computing,"
and sleep, but in practice she doesn't get to enjoy these activities
too often.
Rocco A. Servedio
Associate Professor
Columbia University
New York, NY
rocco[ta]cs[td]columbia[td]edu
http://www.cs.columbia.edu/~rocco
Associate Professor
Columbia University
New York, NY
rocco[ta]cs[td]columbia[td]edu
http://www.cs.columbia.edu/~rocco
Rocco A. Servedio is an associate professor in the
Department of Computer Science at
Columbia University.
He graduated from Harvard University
in 2001 where his Ph.D. was supervised by
Leslie Valiant.
He is interested in computational learning theory, computational
complexity, and other topics. He enjoys spending time with his family
and hopes to drink a quart of stout with
Herman Melville
in the afterlife.
Andrew Wan
Department of Computer Science
Columbia University
New York, NY
atw12[ta]columbia[td]edu
http://www.cs.columbia.edu/~atw12
Department of Computer Science
Columbia University
New York, NY
atw12[ta]columbia[td]edu
http://www.cs.columbia.edu/~atw12
Andrew Wan is a Ph.D. candidate at
Columbia University, advised by Tal Malkin and Rocco Servedio. His
interests include complexity theory, cryptography, and computational
learning theory.
Before graduate school, he was a student of philosophy
at Columbia University
and enjoyed playing the piano, the trumpet, and the accordion.
Although he still enjoys playing music,
the PAC model rarely affords him the time.
Hoeteck Wee
Assistant Professor
Department of Computer Science
Queens College, City University of New York
hoeteck[ta]cs[td]qc[td]cuny[td]edu
http://www.cs.qc.edu/~hoeteck
Assistant Professor
Department of Computer Science
Queens College, City University of New York
hoeteck[ta]cs[td]qc[td]cuny[td]edu
http://www.cs.qc.edu/~hoeteck
Hoeteck Wee is an assistant professor at Queens College,
CUNY.
He received his Ph.D. from UC Berkeley
under the supervision of Luca Trevisan and his B.Sc. from MIT. He was previously a
postdoc at Columbia University and a visiting student at Tsinghua
University and IPAM. Hoeteck currently lives in Manhattan close to
the cafés in order to cut down on his commute. He's working to
convince more people that “black box is the new black.”