I'm a researcher in Palo Alto focused on machine learning and other optimization algorithms.
My goal is to apply these ideas towards the study of the natural world, positive advancement of technology, and conservation of natural diversity.
I'm also interested in using artificial optimization algorithms to find insights into natural evolution, and vice versa.
Some things I've worked on include:
- Reinforcement learning (RL) and metaheuristics for the bin packing problem
- Metaheuristics for arithmetic circuit optimization
- Physics-informed RL for discovering unknown biomolecular structures
- Test-time scaling of diffusion models
- Scalable energy-based language modeling
- Stochastic parameters for sparse low-bit quantization
- Differentiable sparsity for efficient transformer models
My most recent public research is a scalable latent reasoning architecture.
I am currently leading a team researching something new, and hope to say more soon.
If you're interested in collaboration or just want to talk, reach out to aklein.cs@gmail.com