Open to Industry Opportunities

Expected Graduation: July 2026

I am actively exploring industry opportunities for Research Scientist or Research Engineer roles in ML Systems. My focus is on applying my expertise in distributed training and inference to build LLM infrastructure at real-world scale.

Location: Europe.

About

I’m an AI systems researcher who is a PhD candidate in the Large-Scale Data & Systems (LSDS) group at Imperial College London, where I have been working under the supervision of Professor Peter Pietzuch since 2021. My research focuses on Machine Learning Systems (MLSys), with a primary interest in large-scale distributed machine learning training and inference. My early work explored the impact of resource changes on deep learning training systems (Tenplex), while my current research targets high-performance systems for LLM workflows.

Additionally, I collaborate with my second advisor, Professor Mark van der Wilk, on Gaussian Processes (GP). Our research aims to improve benchmarking of GP approximations for comparability and enhance the performance of GP inference.

Prior to joining the LSDS group, I completed both my Bachelor of Science and Master of Science in Informatics at the Technical University of Munich.

Publications

Conferences

Tenplex: Changing Resources of Deep Learning Jobs using Parallelizable Tensor Collections

Marcel Wagenländer, Guo Li, Bo Zhao, Luo Mai, and Peter Pietzuch
Symposium on Operating Systems Principles (SOSP), 2024

KungFu: Making Training in Distributed Machine Learning Adaptive

Luo Mai, Guo Li, Marcel Wagenländer, Konstantinos Fertakis, Andrei-Octavian Brabete, and Peter Pietzuch
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2020

Preprints

Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines

Marcel Wagenländer*, Otto White*, Britannio Jarrett, Pedro Silvestre, Yanda Tao, Guo Li, Huanzhou Zhu, Llúis Vilanova, Peter Pietzuch
arXiv

Recommendations for Baselines and Benchmarking Approximate Gaussian Processes

Sebastian W. Ober*, Artem Artemev*, Marcel Wagenländer*, Rudolfs Grobins, Mark van der Wilk
arXiv

Workshops

Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources

Marcel Wagenländer, Luo Mai, Guo Li, and Peter Pietzuch
USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), 2020

Curriculum vitae

Curriculum vitae

Email

hello ɑ marcel.systems