Research
My research interests are in algorithmic game theory and mechanism design, bounded rationality, and computational complexity.
DBLP
Publications
- Non-Obvious Manipulability for Single-Parameter Agents and Bilateral Trade
Working Papers
Teaching
- 6CCS3AIN Artificial Intelligence Reasoning and Decision Making (2022/23)
- sequential decision making, Markov Decision Processes, etc.
- 6CCS3OME Optimization Methods (2020/21, 2021/22, 2022/23)
- single-source shortest path, all-pairs shortest path, network flow, linear
programming, optimisation techniques for NP-hard problems
- 4CCS1DST Data Structures (2021/22, 2022/23)
- data structures and algorithms, searching, sorting
- 4CCS1FC1 Foundations of Computing I (2022/23)
- introductory course on mathematics for computer science
DAI Seminar
I help to organise the fortnightly seminar for the DAI research group.
We don’t have much of an online presence as it stands so I will make a note of past talks here.
If you’d like to present a talk on your work at the seminar please get in touch!
- 21/03/2023: Buhong Liu (King’s and University of Glasgow), Agent-Based Modelling in Finance
- 07/03/2023: Micah Carroll (UC Berkeley), User Manipulation Incentives in Recommender Systems
- 21/02/2023: Kristin Blesch (University of Bremen), Conditional Feature Importance for Mixed Data
- 07/02/2023: Elfia Bezou-Vrakatseli (King’s), Debating Ethics: Using Natural Language Datasets to Support Human and AI Debate
- 24/01/2023: Xingzhou Lou (King’s), PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination
- 12/01/2023: Krzysztof R. Apt (CWI), Characterization of Incentive Compatible Single-parameter Mechanisms Revisited
- 08/12/2022: Sahar Jahani (LSE), Automated Equilibrium Analysis of \(\mathit{2 \times 2 \times 2}\) Games
- 24/11/2022: Max Bartolo (UCL), Dynamic Adversarial Data Collection for Question Answering
- 10/11/2022: Mark Staarink (Urbit), Urbit: the personal server
- 20/10/2022: Joel Z. Leibo (DeepMind), Reverse-Engineering Human Evolution with Multi-Agent Reinforcement Learning
- 06/10/2022: Riccardo Colini-Baldeschi (Meta), Fair Equilibria in Sponsored Search Auctions: the Advertisers’ Perspective
- 05/05/2022: Dario Paccagnan (Imperial), Two birds with one stone: optimal approximation for integral routing and congestion pricing
- 27/01/2022: Fanghua Ye (UCL), Slot Self-Attentive and Label Noise-Robust Dialogue State Tracking
Events attended