2025–present
Research
Qualcomm AI Research
Senior Researcher · Amsterdam
Efficient LLM architectures
About me
I am a Senior Researcher at Qualcomm AI Research in Amsterdam.
I completed my PhD at Vrije Universiteit Amsterdam, advised by Jakub Tomczak and Max Welling. Previously, I worked with Microsoft AI4Science, Qualcomm AI Research, and NVIDIA.
Research interests
Efficient LLM architectures
My current work explores latent reasoning, compressed KV caches, and sub-quadratic attention, with an emphasis on reducing the memory and computational cost of language models.
Selected publications
All publications on Google Scholar ↗Timeline
2020–2025
Education
PhD · Vrije Universiteit Amsterdam
Latent Variable Generative Models
Advised by Jakub Tomczak and Max Welling
2024
Research
Microsoft AI4Science
Associate Researcher · Amsterdam
Machine learning force fields
2023
Research
Microsoft AI4Science
Research Intern · Cambridge
Machine learning force fields
2021
Research
Qualcomm AI Research
Research Intern · Amsterdam
Generative priors for inverse problems
2017–2019
Education
MSc · HSE and Skoltech
Computer Science · Statistical Learning Theory
2018
Research
NVIDIA
Deep Learning Intern · Moscow
Object detection and tracking