Reach out
Contact
If you are reaching out about research internships, collaborations, visiting researcher opportunities, or applied optimization work, email is the fastest path.
Best reasons to contact me
- Research internships or visiting roles in machine learning, optimization, or efficient training
- Collaborations involving low-rank methods, geometry reconstruction, or RLHF
- Applied ML problems where theory and practical constraints both matter
What helps
Include the role or project, timeline, and why my background is relevant. That makes it easier for me to respond quickly.
Profiles & Research Areas
- Low-rank optimization methods for machine learning
- Scalable optimization algorithms for large-scale systems
- Non-convex optimization theory and applications
- Efficient training of deep neural networks
- Geometry reconstruction and distance geometry problems
- Reinforcement learning from human feedback (RLHF)