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Career

· Research Scholar, Carnegie Mellon University2025–2025
· Research Scientist, Google DeepMind (Current)2025–
· Research Intern - MLR, Apple2024–2024
· Student Researcher, Google DeepMind2024–2024
· Doctor of Philosophy - PhD Computer Science, ETH Zürich2021–2026
· Doctor of Philosophy - PhD, Computer Science, ETH Zürich2021–2026
· Research Assistant, ETH Zürich2020–2021
· Master of Science - MS, Computer Science, ETH Zürich2019–2021
· Research Intern, Technical University Munich2018–2018
· Research Intern, Technical University Munich2017–2018
· Teaching Assistant, Sharif University of Technology2016–2018
· Bachelor of Science, Electrical Engineering, Computer Science, Sharif University of Technology2014–2019
· Physics, Young Scholars Club2013–2014

Publications (12)

Neural Contextual Bandits without Regret
International Conference on Artificial Intelligence and Statistics · 2021
45
cited
Election Vote Share Prediction using a Sentiment-based Fusion of Twitter Data with Google Trends and Online Polls
International Conference on Data Technologies and Applications · 2017
14
cited
Graph Neural Network Bandits
Neural Information Processing Systems · 2022
14
cited
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation
Conference on Uncertainty in Artificial Intelligence · 2023
14
cited
Instance-Dependent Generalization Bounds via Optimal Transport
Journal of machine learning research · 2022
13
cited
Anytime Model Selection in Linear Bandits
Neural Information Processing Systems · 2023
7
cited
Progressive Entropic Optimal Transport Solvers
Neural Information Processing Systems · 2024
7
cited
Meta-Learning Hypothesis Spaces for Sequential Decision-making
International Conference on Machine Learning · 2022
6
cited
Bandits with Preference Feedback: A Stackelberg Game Perspective
Neural Information Processing Systems · 2024
5
cited
Graph Neural Network Powered Bayesian Optimization for Large Molecular Spaces
3
cited
Lifelong Bandit Optimization: No Prior and No Regret
Conference on Uncertainty in Artificial Intelligence · 2022
3
cited
LITE: Efficiently Estimating Gaussian Probability of Maximality
International Conference on Artificial Intelligence and Statistics · 2025
2
cited
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