I am a Ph.D. student at London Business School, Management Science & Operations department. My research focuses on the design of pricing and matching systems for service platforms within the gig economy. Through my research, I aim to: (i) design computationally efficient and practical market algorithms, and (ii) improve social welfare and equity of market outcomes. I value maintaining strong connections with the industry and adopting an application-oriented research style. I believe that understanding real-world issues can lead to impactful new theories.

I am on the academic job market for the 2023-2024 academic year.


A. Ömer Sarıtaç

London Business School

Regents Park    

London NW1 4SA, UK     



Centralized versus Decentralized Pricing Controls for Dynamic Matching Platforms, Aouad, S., and Yan, Under review at Management Science (2023) [code] 

Appeared in The 24th ACM Conference on Economics and Computation (EC), 2023

Dynamic Stochastic Matching Under Limited Time, Aouad and S., Operations Research (2022) [code]

Appeared in The 21st ACM Conference on Economics and Computation (EC), 2020 

Online Contextual Influence Maximization with Costly Observations, S., Karakurt, and Tekin, IEEE Trans. Signal Inf. Process. over Networks (2019) [code]

Combinatorial multi-armed bandit problem with probabilistically triggered arms: A case with bounded regret, S., and Tekin, Working Paper (2018)

Accepted in the IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017

Work in Progress

Pricing and Matching in a Decentralized Spatial Market (with Ali Aouad and Anatolii Prokhorchuk)

-In collaboration with Bolt, we study a novel decentralized pricing scheme using a model reflecting driver spatial distribution, highlighting the balance between competitive pricing and efficient pick-up times. 

The Competitive Dynamics of Diverse Pricing Algorithms that Learn (with Ali Aouad and Arnoud V. den Boer)

-We study whether technological differences in pricing algorithms may explain the empirically observed supra-competitive prices and price dispersion in competitive markets.

Competition Between Platforms in the Gig Economy under Decentralized Pricing

-Based on intriguing data from Bolt, in a competitive gig economy landscape, this study aims to understand suppliers' pricing across platforms with differing pricing decentralization (early stages).