Jared Ostmeyer
Principally A Data Scientist
Dallas, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolJared Ostmeyer is a data scientist and applied machine learning researcher with 11 years of experience developing deep learning solutions for biomedical problems, from using an iPhone camera to assess insulin readiness to integrating 3D molecular structures with sequence-trained networks. He has translated academic inventions into product-focused programs—authoring patents, securing grants, and building active learning pipelines and efficient binding predictors used alongside experimental teams. Jared’s background spans academia and industry, including roles as assistant professor, senior scientist at Amgen, and AI lead at Ordaos Bio, where he scaled models across distributed GPUs and piloted federated learning on sensitive patient data. He contributes open-source ML examples (NakedTensor) and is skilled at bridging theory and practice—for example developing the theory connecting proportional hazard losses to deep neural networks. Based in Dallas, he thrives on collaborative, cross-disciplinary work that moves scientific discoveries toward clinical and commercial impact. A fun, less obvious fact: his first job was planting grapes at a vineyard, where he left a bottle branded with his name.
11 years of coding experience
17 years of employment as a software developer
McAuley Catholic High SchoolHigh School Mathematics, High School Mathematics at Missouri Southern State UniversityDoctor of Philosophy (Ph.D.) Computational Neuroscience, Doctor of Philosophy (Ph.D.) Computational Neuroscience at University of ChicagoBachelor’s Degree Physics, Bachelor’s Degree Physics at University of Arkansas
Github Skills (7)
machine-learning10
tensorflow10
python10
linear-regression10
numpy9
matplotlib9
classification7
Programming languages (3)
Github contributions (5)
jostmey/NakedTensor
Sep 2016 - Mar 2017
Bare bone examples of machine learning in TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:55 commits, 8 PRs, 53 pushes in 6 months
Contributions summary:Jared primarily contributed to building and refining machine learning examples using TensorFlow. They implemented a linear regression model, demonstrating understanding of model definition, training, and evaluation. The user also created datasets and visualized the results using matplotlib. Furthermore, the user explored a basic classification model, suggesting an interest in expanding their ML knowledge.
pythondeep-learningmachine-learningtensorflowbare
jostmey/rwa
Mar 2017 - Feb 2020
Contributions:108 commits, 4 PRs, 108 pushes in 3 years
data-sciencemachine-learningweighted-averageaveragesequential
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.