Jacob Graving
Machine Learning Researcher at Max Planck Institute of Animal Behavior
Constance, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolJacob Graving is a machine learning researcher with 11 years of experience applying advanced quantitative and computational methods to biological and behavioral science. Based at the Max Planck Institute of Animal Behavior, he specializes in analyzing high-dimensional data using deep learning, Bayesian statistics, and computer vision to study collective and animal behavior. He earned a summa cum laude Dr. rer. nat. in Biology (Collective Behavior) after earlier degrees from Bowling Green State University, blending rigorous experimental training with computational rigor. Jacob’s work bridges theory and application—designing models that extract behavioral insights from complex visual and time-series data—and reflects a sustained focus on understanding behavior through computation. An underappreciated strength is his ability to translate biological questions into scalable ML pipelines that produce reproducible, publication-ready results.
11 years of coding experience
Dr. rer. nat., Biology–Collective Behavior, 0,0 (summa cum laude), Dr. rer. nat., Biology–Collective Behavior, 0,0 (summa cum laude) at International Max Planck Research School (IMPRS) for Organismal BiologyMaster of Science - MS, Biology/Biological Sciences, General, Master of Science - MS, Biology/Biological Sciences, General at Bowling Green State University
Github Skills (38)
python10
dimensionality-reduction10
pose10
bar-code10
behavior10
polygon10
machine-learning10
keras10
heatmap10
deep-learning10
tensorflow10
self-supervised-learning10
pose-estimation10
affine-transformation10
contrast10
Programming languages (3)
Github contributions (5)
jgraving/selfsne
Jul 2020 - Jan 2023
Self-Supervised Noise Embeddings (Self-SNE)
Contributions:115 commits, 519 pushes, 1 branch in 2 years 6 months
clusteringmachine-learningembedding-modelscontrastive-learningself-supervised-learning
jgraving/DeepPoseKit-Annotator
May 2019 - Oct 2019
Contributions:16 commits, 3 pushes, 1 comment in 5 months
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