Thomas Neff in

Thomas Neff

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Head of Systems Research & Engineering at Luma AI
📍 Greater Graz, Austria

Thomas Neff leads Systems Research and Engineering at Luma AI, focusing on making large-scale training and inference for generative AI models more efficient. A PhD graduate from Graz University of Technology, his work has been central to shipping core products like Dream Machine and the 3D generation model, Genie.

Outside of his core research, Thomas has a passion for game development and music. He created an award-winning application for the Pebble smartwatch, showcasing his skills beyond large-scale AI. He is also active in growing the AI community, encouraging connections as Luma expands to new cities like London and Seattle.

Unique fact: Thomas is the creator of "Greeneys Run, " an award-winning game he developed for the Pebble Timeline Challenge.

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Experience
11 Years
Current Role
Head of Systems Research & Engineering
Job Level
Mid-senior
Location
Greater Graz, Austria
Personality Overview

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Priorities

Topics Thomas cares about

Efficient ML Systems
He leads efforts at Luma to scale training and inference workloads to thousands of GPUs, a topic he recently presented at the PyTorch conference.
Generative AI Models
He contributed significantly to building and shipping multiple generative models at Luma, including Genie (text-to-3D) and Dream Machine (generative video).
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Career

Work history

9-2024
Head of Systems Research & Engineering
Luma AI
11-2022 - 10-2024
Research Scientist (Founding Team)
Luma AI
6-2022 - 9-2022
Research Scientist Intern
Meta
3-2019 - 2-2023
PhD Student / University Assistant (Real-Time Graphics, Machine Learning)
Graz University of Technology
6-2018 - 3-2019
PhD Student / Project Assistant
Graz University of Technology
In the press

Media appearances

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Education
6-2018 - 2-2023
Doctor of Philosophy - PhD
Technische Universität Graz
2015 - 2018
Master's degree
Technische Universität Graz
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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