Danila Mishin

Current Role: Research @ PARSA Lab, École Polytechnique Fédérale de Lausanne
Location: Lausanne, Switzerland
Areas of Interest: High-Performance Systems, Scalable Systems, Efficient Machine Learning

Danila Mishin is a Master Student at EPFL and a Researcher at PARSA Lab, working on high-efficiency inference and training algorithms for Large Language Models.

He currently leads several research projects in collaboration with Google, AMD, and Korea University. Previously employed at major tech firms (FAANG), he optimized core infrastructure reliability and functionality at scale.

Effective Interplay between Sparsity and Quantization: From Theory to Practice
Spotlight at ICLR 2025
Simla Burcu Harma, Ayan Chakraborty, Elizaveta Kostenok, Danila Mishin, et al.
arXiv:2405.20935

• Formulated a unified mathematical framework to analyze the joint impact of sparsity and quantization, demonstrating their non-orthogonal nature in model compression.

Languages: C++, Python, C, Rust
Tools: Git, Docker, Linux

M.S. Computer Science (2023-2026)
École Polytechnique Fédérale de Lausanne (EPFL)

B.S. Applied Mathematics and Computer Science (2019-2023)
Moscow Institute of Physics and Technology (MIPT)

• Email: dkmishin at gmail dot com
• GitHub: github.com/jungletryne
• LinkedIn: linkedin.com/in/danmishin