PeopleofSuperintelligence

Researcher

Peter Neigel

Peter Neigel is a computer vision researcher at the German Research Centre for Artificial Intelligence (DFKI) in Kaiserslautern, working on SLAM, 3D reconstruction and wearables. A physics graduate of Technical University Kaiserslautern and Ruprecht-Karls University Heidelberg, he finished his master's degree in 2017. In 2021 he co-wrote a survey of semantic stereo matching with Viny Saajan Victor, and with Andrew Vargo, Benjamin Tag and Koichi Kise at Osaka Metropolitan University he studied student stress and sleep through wearable rings, published in Frontiers in Computer Science in 2025. In 2025 and 2026 he joined Sebastian Vollmer and other coauthors in testing decision-tree reasoning in vision-language models, including the MYOPIA benchmark. He is pursuing a PhD at Technical University Kaiserslautern.

Now at
DFKI

Timeline

  1. 2015–2017

    Physics at Kaiserslautern and Heidelberg

    He earns a BSc in physics at Technical University Kaiserslautern in 2015. An MSc in physics from Ruprecht-Karls University Heidelberg follows in 2017.

  2. 2021

    A survey of semantic stereo matching

    He and Viny Saajan Victor write a 2021 survey of deep networks that use semantic cues from image segmentation to improve stereo matching, the technique for inferring depth from stereo images that serves 3D reconstruction and robotic navigation. The survey compares the networks in accuracy and speed.

  3. February 2024–August 2025

    Student stress and wearable rings

    A study he posts in February 2024 with Andrew Vargo, Benjamin Tag and Koichi Kise follows 103 Japanese university students who wear a health-tracking ring for up to 28 months, and finds population-wide stress markers during exams, New Year's and job-hunting season. In August 2025, Frontiers in Computer Science publishes his article on unobtrusive stress detection with wearables in a university setting, which uses elevated waking heart rate as a stress marker and lists him at Osaka Metropolitan University's Graduate School of Informatics.

  4. 2025

    Sleep quality and working memory

    His first-author paper at Augmented Humans 2025 compares daily sleep self-ratings with Oura ring data and a working memory task for 29 participants over four to eight weeks. Differences in REM sleep, nocturnal heart rate, N-Back scores and bedtimes predict the self-assessments.

  5. September 2025

    Decision trees for vision-language models

    He coauthors "Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs" in September 2025 with Sary Elmansoury, Islam Mesabah, Gerrit Großmann, Daniel Kondermann and Sebastian Vollmer. The framework breaks visual classification into decision-tree questions and finds that tree-based reasoning underperforms standard zero-shot prompting on the GTSRB and CIFAR-10 datasets.

  6. As of October 2026

    Researcher at DFKI

    He is a researcher at the German Research Centre for Artificial Intelligence (DFKI) in Kaiserslautern, in Sebastian Vollmer's group, with interests in SLAM, 3D reconstruction and wearables and a PhD under way at Technical University Kaiserslautern. In October 2026, he coauthors the MYOPIA benchmark, which tests decision-tree reasoning on GTSRB, MNIST, CIFAR-10 and MSCOCO with GPT-4o, Qwen-VL Max and LLaMA-3.2 11B Vision; tree traversal underperforms zero-shot prompting in all 12 dataset–model pairs.

Career

  1. NowDFKIResearcher

Education

  1. 2017Heidelberg UniversityMSc in physics
  2. 2015University of KaiserslauternBSc in physics

From the biography.

  1. Nonprofit roles are 2.3 times as common in AI safetyIncludes DFKI. We estimate where people focused on safety, alignment and evaluation work. Nonprofit roles appear for 25.1% of safety people with known affiliations, compared with 11.0% in other areas.
  2. The top 10 organizations employed 22% of people shaping AI in 2025: 51% of company researchers and 21% of university researchersIncludes DFKI. We estimate the share of people shaping AI who worked at the top 10 organizations each year from 1955 to 2025, comparing concentration across companies, universities, and institutes and labs.
  3. The United States employs an estimated 48% of people shaping AIIncludes DFKI. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes DFKI. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Peter Neigel — Data Science and its Applications dsa.dfki.de. Checked 22 October 2026.
  2. Survey on Semantic Stereo Matching / Semantic Depth Estimation arxiv.org. Checked 22 October 2026.
  3. Identifying Periods of Cyclical Stress in University Students Using Wearables In-the-Wild arxiv.org. Checked 22 October 2026.
  4. Frontiers | Unobtrusive stress detection using wearables: application and challenges in a university setting frontiersin.org. Checked 22 October 2026.
  5. Exploring the Alignment of Perceived and Measured Sleep Quality with Working Memory using Consumer Wearables arxiv.org. Checked 22 October 2026.
  6. Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs arxiv.org. Checked 22 October 2026.
  7. MYOPIA: Understanding the Limits of Tree-Based Reasoning in Vision-Language Models arxiv.org. Checked 22 October 2026.