I am a Postdoctoral Fellow at the Harvard School of Engineering and Applied Sciences (SEAS) and a Research Fellow at Input Output Hong Kong (IOHK). Prior to this, I was a Career Development Fellow in Computer Science at Balliol College at the University of Oxford.

I completed a D.Phil. in Theoretical Computer Science under the supervision of Paul Goldberg, and a B.A. in Mathematics at Harvard University with a minor in Neuroscience in 2012.

My interests lie in the intersection of Algorithmic Game Theory, Decentralised Consensus Protocols, and Computational Learning Theory.

​I am also a co-organiser of the Mechanism Design For Social Good (MD4SG) research initiative alongside Rediet Abebe, Ana-Andrea Stoica, Lily Xu, George Obaido, Charles Cui and Matthew Olckers.


Photo credit : Stuart Bebb

News and Updates
  • September 2022: Early registration is now open for the second ACM Conference on Equity and Access in Algorithms, Mechanisms and Optimization (EAAMO ‘22)!

  • September 2022: Our paper, “Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design”, with Zhou Fan, Ben Altschuler, He Sun, Xintong Wang and David Parkes has been accepted at ICAIF 2022.

  • August 2022: Our paper, “Learning Strong Substitutes Demand via Queries”, with Edwin Lock and Paul Goldberg has been published in the ACM Transactions on Economics and Computation. 

  • July 2022: Our paper, “Decentralised Update Selection with Semi-Strategic Experts”, with Gerogios Amanatidis, Georgios Birmpas, and Philip Lazos  has been accepted at SAGT 2022.

  • June 2022: I am pleased to rejoin the Harvard College community as a Resident Tutor at Lowell House

  • June 2022: Our manuscript, “Welfare-Maximizing Pooled Testing” is up on the arxiv. 

  • May 2022: Very excited to kick off the inaugural MD4SG-COPOCYT Verano de las Ciencias! We are working with a talented cohort of female indigenous students from the Huasteca Potosina on interdisciplinary projects aimed at improving access to opportunity in their communities!

  • May 2022: Excited to participate as a panelist in a discussion on “Data Science and Impacted Communities” for the Spring Meeting of the Academic Data Science Alliance (ADSA).