| Oct 7, 2026 |
Super excited that we are open-sourcing Zephon today! Zephon is an elastically deterministic data loader for text and multimodal training. Check out the project and our paper!
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| Oct 1, 2026 |
After finishing my Ph.D., I am excited to stay full time with DatologyAI and help build up our European operations! I will also be spinning up a training infrastructure team. If you are interested, please reach out!
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| Sep 25, 2026 |
DataComp-VLM: Improved Open Datasets for Vision-Language Models has been accepted to NeurIPS’26! Check out the latest entry in the DataComp benchmark series.
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| Sep 10, 2026 |
I am happy to serve on the program committee of MLSys’27!
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| Aug 24, 2026 |
I successfully defended my Ph.D. at ETH Zurich! My thesis is titled System Support for Declarative and Data-Centric Machine Learning. Many thanks to my committee members Martin Jaggi, Sebastian Schelter, and Steven Hand, and of course to my supervisor Ana Klimovic for her guidance and support throughout my Ph.D.!
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| Jul 8, 2026 |
The Finetuner’s Fallacy has been accepted to COLM’26! We study when to include domain-specific finetuning data in the pretraining mix.
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| Jun 5, 2026 |
I attended SIGMOD’26 in Bangalore, India, presenting Mixtera both at the main conference as well as giving an invited talk on it at the DEEM workshop.
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| May 12, 2026 |
We just released a report on how data curation alone can increase VLM quality across 20 public benchmarks.
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| Apr 30, 2026 |
I attended EuroSys’26 in Edinburgh and presented the current status of the data loader that we are building at DatologyAI. I also gave an Invited Talk at GreenSys’26 on efficient data mixing and loading for foundation model training.
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| Apr 10, 2026 |
We just released a cost-performance trade-off study for test-time agent adaptation that has been accepted to the LLA workshop at ICLR‘26!
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| Apr 7, 2026 |
Our paper on Apertus v1, Switzerland’s national LLM, has been accepted to ACL‘26!
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| Mar 17, 2026 |
Ever wondered if you should include your domain-specific finetuning data in your pretraining mix? Check out The Finetuner’s Fallacy, where we dig into this question!
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| Feb 20, 2026 |
After finishing my internship at DatologyAI, I am happy to continue as Member of Technical Staff, working on our (soon-to-be) open source data loader!
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| Feb 16, 2026 |
Check out ÜberWeb, where we present our insights on curating multilingual data at the 20 trillion token scale.
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| Jan 6, 2026 |
I gave a talk at the DEEM Lab Research Seminar on Data Engineering for ML at TU Berlin, hosted by Sebastian Schelter.
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| Dec 7, 2025 |
I attended NeurIPS’25 in San Diego.
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| Nov 23, 2025 |
Mixtera has just been accepted to SIGMOD’26 in Bengaluru, India!
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| Oct 2, 2025 |
We organized the Building Efficient System Infrastructure for AI track at the AI+X Summit 2025 in Zurich and I gave a presentation about Mixtera.
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| Sep 15, 2025 |
I joined DatologyAI as a Research Intern! I will be working on data loading for LLM/VLM training.
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| Sep 1, 2025 |
We just released Apertus v1, Switzerland’s national LLM. Happy to have contributed to the pretraining data! The models can be found on huggingface and the technical report on Github.
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| Jun 27, 2025 |
I attended SIGMOD’25 in Berlin and presented Modyn at the conference!
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| May 19, 2025 |
I started as an ML Intern at Apple in Seattle, working on reinforcement learning infrastructure for diffusion models!
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| May 15, 2025 |
I presented our distributed data selection paper at MLSys 2025, and gave a talk at DatologyAI on Mixtera.
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| Mar 19, 2025 |
I have received the ML and Systems Rising Star Award 2025. Thank you so much!
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| Mar 4, 2025 |
I presented Mixtera and Modyn at BTW’25. Thank you for the great discussions!
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| Mar 1, 2025 |
We just released a preprint on Mixtera, our data plane for foundation model training. If you are training LLMs or VLMs, and are looking for infrastructure for data loading and mixing, please feel free to reach out!
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| Feb 10, 2025 |
Our paper on distributed submodular subset selection–a result from my Google internship–has been accepted to MLSys’25. See you soon in Santa Clara!
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| Oct 31, 2024 |
Our paper on Modyn has been accepted to SIGMOD’25 in Berlin!
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| Oct 4, 2024 |
We organized the Systems for Cost-Efficient AI Track at the AI+X Summit in Zurich.
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| Sep 30, 2024 |
Our vision paper on Mixtera, our lightweight data lake for LLM training, has been accepted to HotInfra’24 at SOSP. See you in Austin, TX!
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| Aug 2, 2024 |
Happy to have attended the Dagstuhl Seminar 24311: Resource-Efficient Machine Learning.
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| Jun 17, 2024 |
I will talk about Modyn at the Data-centric Machine Learning (DML) workshop at ICLR’24. See you in Vienna!
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| Feb 26, 2024 |
We just released a preprint of our paper on scaling out practical subset selection using submodular functions. This paper is a result of my internship at Google.
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| Jun 17, 2023 |
Our paper on analyzing vectorized hash tables across CPU architectures just got accepted at VLDB’23 in Vancouver!
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| Jun 5, 2023 |
I joined Google for a summer research internship in Sunnyvale, California, USA! I am working on scaling out submodular data subset selection.
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| Apr 11, 2023 |
Our work-in-progress workshop paper on Modyn, our research platform for model training on dynamic datasets, has been accepted at EuroMLSys’23 in Rome!
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| Nov 1, 2022 |
I joined the ETH Zurich Systems Group and the Efficient Architectures and Systems Lab (EASL) to do a Ph.D. in Machine Learning Systems, supervised by Professor Ana Klimovic. Looking forward to the new adventures in Switzerland!
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| Oct 15, 2022 |
Our paper on efficiently computing directed minimum spanning trees (arboresence) has been accepted for publication at ALENEX 2023. Check out the final version here.
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| Jun 6, 2022 |
Our Law Smells paper, which applies concepts of software engineering to the law, has been published in AI&Law. Check out the final version here.
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| Jan 24, 2022 |
Our paper on deep learning for combinatorial optimization just got accepted at ICLR! Check out the final version here.
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| Dec 27, 2021 |
This website just went online!
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