About the Authors
Nikhil Bansal
Researcher
Centrum voor Wiskunde en Informatica
Amsterdam, the Netherlands
bansal[ta]gmail[td]com
www.win.tue.nl/~nikhil
Researcher
Centrum voor Wiskunde en Informatica
Amsterdam, the Netherlands
bansal[ta]gmail[td]com
www.win.tue.nl/~nikhil
Nikhil Bansal is a researcher at the
Centrum voor Wiskunde en Informatica,
Amsterdam.
He attended the Indian Institute of Technology,
Mumbai for his B. Tech. degree, and received his Ph.D.
from Carnegie Mellon University,
where he was advised by
Avrim Blum.
He got fascinated by algorithms while taking an undergraduate course by
Prof. Ajit A. Diwan.
Since then he has enjoyed thinking about various kinds of
algorithmic questions.
Daniel Dadush
Researcher
Centrum voor Wiskunde en Informatica
Amsterdam, the Netherlands
dndadush[ta]gmail[td]com
https://homepages.cwi.nl/~dadush/
Researcher
Centrum voor Wiskunde en Informatica
Amsterdam, the Netherlands
dndadush[ta]gmail[td]com
https://homepages.cwi.nl/~dadush/
Daniel Dadush is a tenured researcher at the
Centrum voor Wiskunde en Informatica, Amsterdam.
He earned his Ph.D. in algorithms, combinatorics and optimization (ACO)
from Georgia Tech in 2012, where his advisor
was Santosh Vempala. Before
joining CWI, he spent two years as a Simons postdoctoral fellow in the
Computer Science Department at New York University.
His research has focused on algorithms for lattice problems, integer
programming, and high-dimensional convex geometry. He lives and works in
Amsterdam, and is glad that, thus far, the city remains above water level.
He enjoys reading the New York Times, listening to NPR, and taking long bike
rides
along the canals when it is not raining.
Shashwat Garg
Quantitative researcher
WorldQuant LLC
Budapest, Hungary
garg.shashwat[ta]gmail[td]com
https://www.win.tue.nl/~sgarg/
Quantitative researcher
WorldQuant LLC
Budapest, Hungary
garg.shashwat[ta]gmail[td]com
https://www.win.tue.nl/~sgarg/
Shashwat Garg
is a Quantitative Researcher at WorldQuant LLC. He got his Ph.D. in algorithms
from Eindhoven University of Technology in 2019
where his advisor was Nikhil Bansal.
His research focused on algorithms for combinatorial discrepancy and
approximation algorithms for scheduling problems. He enjoys reading
anything under the sun, exploring new
cafés and painting.
Shachar Lovett
Associate professor
University of California, San Diego
slovett[ta]cse[td]ucsd[td]edu
cseweb.ucsd.edu/~slovett
Associate professor
University of California, San Diego
slovett[ta]cse[td]ucsd[td]edu
cseweb.ucsd.edu/~slovett
Shachar Lovett
graduated from the
Weizmann Institute of Science in 2010;
his advisors were
Omer Reingold and
Ran Raz.
He was a member of the Institute for Advanced Study,
School of Mathematics between 2010-2012. Since then, he has been
a faculty member at the
University of California, San Diego. He is
interested in the role that structure and randomness play in
computation and mathematics, and in particular in computational
complexity, coding theory,
pseudorandomness, and algebraic constructions.