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Welcome to my personal website! You can find my resume here.

At Néel Institute, tightening up the final heat shield for their "sionludi", a dilution refrigerator capable of reaching temperatures down to 50mK! You can learn more about my research experience on the QuNES team at Néel here.


I am currently working on deep RL for the average reward objective:

and compositionality, transfer, or curriculum learning:

📝 Visualization of papers and their connections 🔗

Recent Announcements

  • I will be in Tubingen, Germany to present our paper, "Average-Reward Soft Actor-Critic" at EWRL!

  • I will be at the IAIFI Summer Workshop at Harvard to present our work on average-reward RL.

  • I will be in Edmonton to present our paper, "Average-Reward Soft Actor-Critic" for the second Reinforcement Learning Conference!

  • I will be in Vancouver for ICML 2025 to present a recent paper "Exploration Behavior of Untrained Policies" at the high-dimensional learning dynamics (HiLD) workshop.

  • Our paper, "Saturation of the Cramér-Rao Bound for the Atomic Resonance Frequency with Phased Array of Hyperbolic Secant Pulses" is now available on arXiv! In this work, with Tharon Holdsworth and Professor Girish S. Agarwal, we exploited properties of sech pulses to develop a pulse sequence capable of saturating the Cramér-Rao bound. This allows for the most precise measurements of atomic resonance frequencies.



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