I am looking for Research Internships!

If you are looking for a highly productive and motivated individual, consider me:

1. I do not give up when Math gets hard;
2. I see things differently than other people.

You do not want to miss out on my unorthodox creativity!

Presentation

I am a PhD student in Stochastic Optimization for Deep Learning under the supervision of Prof. Dr. Aurelien Lucchi at University of Basel, Switzerland. My main interests are Stochastic Optimization, Implicit Bias, and Deep Learning Theory. In good days, I also appreciate Mathematical Finance and Reservoir Computing. Currently, I am interning at Flexion Robotics where I developed a VLM/VLA-based agentic framework for robots to perform complex tasks in the real world. There I also contributed in speeding up (50% faster) and improving the performance of their training pipeline for the rough-terrain locomotion policy.

Lately, I have been playing around with:

1. Stochastic Optimizers for Deep Reinforcement Learning, including a promising modification to how AdamW is applied to the GRPO objective;
2. New DP optimizers specifically tailored for LLMs where high levels of privacy is desired;
3. Reasoning of LLMs: Chain-of-Thought Compression.

Drop me an email :)