**Office:** Room M234

**Phone:** +31 20 592 4210

**Email:** dadush AT cwi DOT nl

I am the leader of the Networks & Optimization group, and a full professor at Utrecht University in the department of Mathematics. Previously, I was a Simons Postdoctoral Fellow for 2 years at the Courant Institute of Mathematical Sciences at New York University. I completed my PhD in 2012 within the ACO (Algorithms, Combinatorics, and Optimization) program at Georgia Tech.

- I co-organized the Dutch Day on Optimization on Thursday October 13th, 2022 at CWI. Please visit the event website for more information.
- I co-organized a reading group on Learning Augmented Algorithms (Spring 2022). Please visit the reading group website for more information.
- I co-organized a Hausdorff Research Institute for Mathematics (HIM) Trimester on "Discrete Optimization" in Bonn during the Fall of 2021.
- I co-organized the workshop Lattices: Geometry, Algorithms and Hardness at the Simons Institute, Feb 18-21, 2020.
- I was on the committee of the Mixed Integer Programming (MIP 2019) workshop at MIT, July 11-15, 2019.
- I organized a workshop on Discrepancy Theory and Integer Programming, June 11-15 at CWI. Slides for the talks are available on the website.

- Ph.D.:
- Samarth Tiwari.

- Sander Borst. Graduated August 2024. (Postdoc, Max Plank Institute, Saarbrucken)

- Sophie Huiberts. Graduated May 2022. (CNRS Researcher @ LIMOS, Clermont Auvergne University).

- Huck Bennett (joint with Chee Yap). Graduated August 2017. (Assistant Professor, Oregon State University).

- M.Sc.:
- Sophie Huiberts. Graduated December 2017.

- Interns:
- Huck Bennett . Fall 2016. (Assistant Professor, University of Boulder)
- Venkata Gandikota . Fall 2016. (Assistant Professor, University of Syracuse)

- Fall 2024: Continuous Optimization. Mastermath website.
- Fall 2022: Continuous Optimization. Mastermath website.
- Fall 2019: Continuous Optimization. Mastermath website.
- Spring 2019: Geometric Functional Analysis and its Applications. Co-Instructor: Jop Briet. Mastermath announcement. Course webpage: link.
- Spring 2018: Introduction to Lattice Algorithms and Cryptography. Co-Instructor: Leo Ducas. Mastermath announcement. Course webpage: link.
- Spring 2017: Advanced Topics in Semidefinite Programming. Co-Instructor: Nikhil Bansal. Mastermath announcement. Course webpage: link.
- Spring 2016: Algorithms Beyond the Worst-Case. Co-Instructor: Bodo Manthey.
- Spring 2013: Lattices, Convexity and Algorithms. Co-Instructor: Oded Regev. New York University (graduate: CSCI-GA 3033-013).

Here's my curriculum vitae (CV) (last updated September 2024).

- Lattice Algorithms and the Geometry of Numbers
- Linear Programming and the Simplex Method
- Extended Formulations
- Algorithms for Integer Programming, Cutting Plane Methods
- Convex Optimization
- Asymptotic Convex Geometry (properties of convex bodies as dimension tends to infinity)

- ERC Starting Grant: Towards a Quantitative Theory of Integer Programming, 2019-2024. project website.
- NWO Veni Grant: New Frontiers in Lattice Algorithms and Design, 2015 - 2018.

- Netherlands Society for Statistics and Operations Research Van Dantzig Prize, 2020.
- A.W. Tucker Prize for Best Thesis in Mathematical Optimization, 2015. Citation: link.
- Informs Optimization Society Student Paper Prize, 2011.
- Informs JFIG Paper Competition, Finalist, 2010 & 2011.

- Smoothed Analysis of the Simplex Method

with S. Huiberts. Invited chapter in Beyond Worst Case Analysis (editor Tim Roughgarden), December 2020.

- A Strongly Polynomial Algorithm for Linear Programs with at most Two Non-zero Entries per Row or Column.

with Z.K. Koh, B. Natura, N. Olver, L. Végh. STOC 2024. - Strongly Polynomial Frame Scaling to High Precision

with A. Ramachandran. SODA 2024. - From Approximate to Exact Integer Programming

with F. Eisenbrand, T. Rothvoss. IPCO 2023 (Best paper award). - A Nearly Optimal Randomized Algorithm for Explorable Heap Selection

with S. Borst, D. Dadush, D. Kashaev, S. Huiberts. IPCO 2023. - Optimizing Low Dimensional Functions over the Integers

with A. Leonard, L. Rohwedder, J. Verschae. IPCO 2023. - Integrality Gaps for Random Integer Programs
via Discrepancy

with S. Borst, D. Mikulincer. SODA 2023. - Interior Point Methods are not worse than Simplex

with X. Allamigeon, G. Loho, B. Natura, L. Végh. FOCS 2022. - A New Framework for Matrix Discrepancy: Partial Coloring
Bounds via Mirror Descent

with H. Jiang, V. Reis. STOC 2022. - On Circuit Diameter Bounds via Circuit Imbalances

with Z.K. Koh, B. Natura, L. Végh. IPCO 2022. - A Simple Method for Convex Optimization in the Oracle Model

with C. Hojny, S. Huiberts, S. Weltge. Mathematical Programming, 2023.

Preliminary version in IPCO 2022. - Asymptotic Bounds on the Combinatorial Diameter of Random Polytopes

with G. Bonnet, U. Grupel, S. Huiberts, G. Livshyts. SOCG 2022. - On Finding Exact Solutions of Linear Programs in the Oracle Model

with L. Végh, G. Zambelli. SODA 2022. - An Accelerated Newton-Dinkelbach Method and its Application to Two Variables Per Inequality Systems

with Z.K. Koh, B. Natura, L. Végh. Mathematics of Operations Research, 2022.

Preliminary version in ESA 2021. - On the Integrality Gap of Binary Integer Programs with Gaussian Data

with S. Borst, S. Huiberts, S. Tiwari. Mathematical Programming, 2023.

Preliminary version in IPCO 2021. - Majorizing Measures for the Optimizers

with S. Borst, N. Olver, M. Sinha. ITCS 2021. - Revisiting Tardos' Framework for Linear Programming: Faster Exact Solutions
using Approximate Solvers

B. Natura, L. Végh. FOCS 2020. - On the Complexity of Branching Proofs

with S. Tiwari. CCC 2020 (Best paper award). - A Scaling-Invariant Algorithm for
Linear Programming whose Running Time Depends only on the Constraint Matrix

with S. Huiberts, B. Natura, L. Végh. Mathematical Programming, 2023.

Preliminary version in STOC 2020. - On Approximating the Covering Radius and
Finding Dense Lattice Subspaces (slides)

STOC 2019. - AWGN-Goodness is Enough: Capacity-Achieving Lattice Codes based on Dithered Probabilistic Shaping

with A. Campello, C. Long. IEEE Transactions on Information Theory, 2019. - Balancing Vectors in Any Norm

with S. Nikolov, K. Talwar, N. Tomczak-Jaegermann. FOCS 2018. - A Friendly Smoothed Analysis of the
Simplex Method

with S. Huiberts. SIAM Journal on Computing, 2020.

Special edition for STOC 2018. - The Gram-Schmidt Walk: A Cure for
the Banaszczyk Blues

with N. Bansal, S. Garg, S. Lovett. Theory of Computing, 2019.

Preliminary version in STOC 2018. - Lattice based Locality Sensitive Hashing
is Optimal (extended abstract)

with C. Chandrasekaran, E. Grigorescu, V. Gandikota. ITCS 2018. - Geometric Rescaling Algorithms
for Submodular Function Minimization

with L. Végh, G. Zambelli. Mathematics of Operations Research, 2021.

Preliminary version in SODA 2018. - Fast, Deterministic and Sparse
Dimensionality Reduction

with C. Guzman, N. Olver. SODA 2018. - Rescaling Algorithms for Linear
Conic Feasibility

with L. Végh, G. Zambelli. Mathematics of Operations Research, 2020. - Towards Strong Reverse Minkowski Type Inequalities for Lattices

with O. Regev. FOCS 2016. - An Algorithm for the Komlós
Conjecture Matching Banaszczyk's Bound

with N. Bansal, S. Garg. SIAM Journal of Computing, 2019.

Special edition for FOCS 2016. - Towards a Constructive Version of Banaszczyk's Vector Balancing Theorem

with S. Garg, S. Lovett, A. Nikolov. Theory of Computing, 2019.

Special edition for APPROX-RANDOM 2016. - On the Lattice Distortion Problem

with H. Bennett, N. Stephens-Davidowitz. ESA 2016. - Rescaled Coordinate Descent Methods for Linear Programming

with L. Végh, G. Zambelli. IPCO 2016. - Solving the Closest Vector Problem
in 2^n Time: The Discrete Gaussian Strikes Again! (slides)

with D. Aggarwal, N. Stephens-Davidowitz. FOCS 2015. - Solving the Shortest Vector Problem
in 2^n Time via Discrete Gaussian Sampling (slides)

with D. Aggarwal, O. Regev, N. Stephens-Davidowitz. STOC 2015. - Faster Deterministic Volume Estimation in
the Oracle Model via Thin Lattice Coverings (slides)

SOCG 2015. - On the Shadow Simplex Method for Curved
Polyhedra (slides)

with N. Hähnle. Discrete & Computational Geometry, 2016.

Preliminary version in SOCG 2015. - Short Paths on the Voronoi Graph and the Closest
Vector Problem with Preprocessing (slides)

with N. Bonifas. SODA 2015. - On the Closest Vector Problem with
a Distance Guarantee

with O. Regev, N. Stephens-Davidowitz. CCC 2014. - On the existence of 0/1 polytopes with
High Semidefinite Extension Complexity (slides)

with J. Briet, S. Pokutta. Mathematical Programming, 2015.

Preliminary version in ESA 2013. - On the Lattice Smoothing Parameter
Problem (slides)

with K.M. Chung, F.H. Liu, C. Peikert. CCC 2013. - Lattice Sparsification and the
Approximate Closest Vector Problem (slides)

with G. Kun. Theory of Computing, 2016.

Preliminary version in SODA 2013. - Algorithms for the Densest Sublattice
Problem

with D. Micciancio. SODA 2013. - Near-Optimal Deterministic Algorithms
for Volume Computation via M-Ellipsoids (slides)

with S. Vempala. Proceedings of the National Academy of Sciences, 2013. - Unconditional Differentially Private
Mechanisms for Linear Queries

with A. Bhaskara, R. Krishnaswamy, K. Talwar. STOC 2012. - A Randomized Sieving Algorithm for Approximate Integer Programming
(slides)

Algorithmica, 2014.

Preliminary version in LATIN 2012. - Deterministic Construction of an Approximate M-Ellipsoid and its
Applications to Derandomizing Lattice Algorithms

with S. Vempala. SODA 2012. - On the Chvátal-Gomory Closure of a
Compact Convex Set (slides)

with S.S. Dey, J.P. Vielma. Mathematical Programming, 2014.

Preliminary version in IPCO 2011.

Optimization Society Student Paper Prize, 2011. - The Split Closure of a Strictly Convex Body

with S.S. Dey, J.P. Vielma. Operations Research Letters, 2011. - The Chvátal-Gomory Closure of a Strictly Convex Body

with S.S. Dey, J.P. Vielma. Mathematics of Operations Research, 2011.

INFORMS JFIG Paper Competition Finalist. - Enumerative Lattice Algorithms in Any
Norm via M-Ellipsoid Coverings (slides)

with C. Peikert, S. Vempala. FOCS 2011. - Thin Partitions: Isoperimetric Inequalities and a Sampling Algorithm for Star Shaped Bodies

with C. Chandresekaran, S. Vempala. SODA 2010.