Alexander Meinke

Head Of Research at Apollo Research

Tübingen, Baden-Württemberg, Germany
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Summary

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Senior
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Top School
Alexander Meinke is Head of Research at Apollo Research with nine years of experience bridging theoretical physics and machine learning to steer AI toward beneficial outcomes. His background includes doctoral training at Tübingen and IMPRS-IS, applied science work at AWS, and research stints at Stanford’s Existential Risks Initiative and MATS, reflecting a focus on long-term AI safety and rigorous, publishable research. He progressed internally from Research Scientist to leading the research team, combining deep academic grounding in mathematical physics with practical experience in industrial research. Based in Tübingen, Germany, he brings a scientist’s rigor to strategy and team leadership, quietly favoring principled, impact-focused approaches over hype.
code9 years of coding experience
job2 years of employment as a software developer
bookMaster Theoretische und mathematische Physik, Master Theoretische und mathematische Physik at USP - Universidade de São Paulo
bookBachelor of Science - BS Physik, Bachelor of Science - BS Physik at Universität Rostock
languagesEnglish, German, Portuguese
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Stackoverflow

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101reputation
355reached
0answers
1question
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Github Skills (16)

training-data10
audio-streaming6
amazon-web-services6
python6
amazon-lex6
numerical-integration5
neural-network4
machine-learning3
automatic-differentiation3
pytorch3
gpu2
governance1
aws1
jax1
architecture1

Programming languages (3)

TypeScriptJupyter NotebookPython

Github contributions (5)

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Guarantees on the behavior of neural networks don't always have to come at the cost of performance.
Contributions:14 commits, 6 pushes in 1 year 4 months
neural-network
A way to achieve uniform confidence far away from the training data.
Contributions:128 commits, 19 pushes, 2 comments in 2 years 1 month
training-data
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