Rad Niazadeh

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Welcome!

I am an Assistant Professor of Operations Management at the University of Chicago Booth School of Business. Prior to joining Chicago Booth, I was a visiting researcher at Google Research NYC and a postdoctoral fellow at Stanford University, Computer Science. I obtained my PhD in Computer Science (minored in Applied Mathematics) from Cornell University.

 

I study the interplay between algorithms, incentives, and learning, with the goal of advancing the theoretical methodologies and foundations of market design and operations in dynamic and complex environments. On the practical side, I leverage these developed methodologies to address various operational challenges in modern online platforms, to build generic frameworks to design faster and economically efficient online marketplaces, and to address humanitarian needs (such as equity, fairness, and non-discrimination) in operations of agencies and e-commerce platforms. My primary theoretical research topics include:

(i) Online algorithms and optimization in markets and platforms,
(ii) Algorithmic mechanism design and game theory,
(ii) Online learning theory and applications in operations research,
(iv) Algorithmic aspects of machine learning in operations research.


[Click here for a list of publications]


[Link to my CV]


What's New?

[June 2021] Chicago Booth Review (CBR) has covered our new work!  (read the article)  

[May 2021]
New working paper "Near-optimal Experimental Design for Networks: Independent Block Randomization" is out! 

[May 2021] Three papers to be presented as spotlight talks at RM&P 2021:
(i)  "Fair Dynamic Rationing"
(ii)  "Two-stage Matching and Pricing with Applications to Ride Hailing" 
(iii) "Near-optimal Experimental Design for Networks: Independent Block Randomization"

[May 2021] Conference versions of two papers are accepted in EC 2021:
(i)  "Fair Dynamic Rationing"
(ii)    "Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization"

[Show More]
[April 2021] New revision of the working paper "Batching and Optimal Multi-stage Bipartite Allocations" is out! 

[March 2021]
 
New revision of the working paper "Two-stage Matching and Pricing with Applications to Ride Hailing" is out! 

[Feb 2021]
 
New working paper "Online Assortment of Reusable Resources with Exogenous Replenishment" is out! 

[Feb 2021] 
The conference version of "Combinatorial Bernoulli Factories: Matchings, Flows, and Other Polytopes" is now accepted in STOC 2021!

[Jan 2021]
 
New working paper "Fair Dynamic Rationing" is out! 

[Jan 2021]
 
New revision of the working paper "Sequential Submodular Maximization and Applications to Ranking an Assortment of Products" is out! 

[Nov 2020] 
New working paper "Combinatorial Bernoulli Factories: Matchings, Flows, and Other Polytopes" is out! 

[Nov 2020] 
My paper "Bernoulli Factories and Black-Box Reductions in Mechanism Design" is now accepted in Journal of the ACM (JACM)! 

[Oct 2020] 
Conference version of "Batching and Optimal Multi-stage Bipartite Allocations" is now accepted in ITCS 2021! 

[Oct 2020] 
New working paper "Near-optimal Bayesian Online Assortment of Reusable Resources" is out!  

[Oct 2020] 
My paper "Fast Core Pricing for Rich Advertising Auctions" is now accepted in Operations Research!

[Sep 2020] 
Conference versions of two of my recent working papers are now accepted:
(i) "Two-stage Stochastic Matching with Application to Ride Hailing" is accepted in SODA 2021! 
(ii) "Stateful Posted Pricing with Vanishing Regret via Deterministic MDPs"  is accepted in NeurIPS 2020!

[Aug 2020] 
New working paper "Batching and Optimal Multi-stage Bipartite Allocations" is out!

[July 2020] 
I am now an assistant professor at Chicago Booth!

[June 2020] New working paper: “Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes”

[Feb 2020]
 Three new working papers:
(i)  "Two-stage Matching and Pricing with Applications to Ride Hailing"
(ii)  "Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization"
(iii) "Sequential Submodular Maximization and Applications to Ranking an Assortment of Products"

[Dec 2019] New working paper "Linear Programming Based Online Policies for Real-time Assortment of Reusable Resources" is out! 

[Nov 2019] New working paper "Linear Programming Based Near-Optimal Pricing for Laminar Bayesian Online Selection" is out!

Contact

The University of Chicago Booth School of Business
5807 South Woodlawn Avenue, Chicago, IL 60637
Office: HC-303
Phone: 773-834-6247
Email: rad.niazadeh@chicagobooth.edu

You were born with wings, why prefer to crawl through life?

- Rumi