Arip Asadulaev

Postdoc. See my papers here.

Trying to understand generative modeling, reinforcement learning and decentralized finance.

Сontribution:

My main theoretical impact is a contribution to the understanding of optimal transport in machine learning. Especially rethinking optimal transport for reinforcement learning.

From an engineering standpoint, I helped design a neural computer architectures that generated molecules with favorable pharmacokinetics. These were later verified in the real world.

From a purely practical perspective, I developed a cowswap solver and various AI layers for executing swaps, bridging assets, and managing decentralized finance.

To share my knowledge, I designed a few courses on reinforcement learning and deep generative models, from GANs to flow-matching.

If you're interested in collaboration or discussing, I'd love to connect.

Social: @machinestein

Contact

Last update: June 11, 2025