I bridge the gap between biological movement and high-performance animation through quantitative pipeline engineering. For the past seven years, my work has focused on the biomechanical reconstruction of animal locomotion, building end-to-end pipelines that translate complex biological data such as X-ray motion capture and 3D mesh scans into functional kinematic animations and predictive models.
My approach combines a deep understanding of vertebrate anatomy with rigorous computational tools. More recently, I have applied my background in 3D geometry and biomechanics to the evolving AI landscape. I have contributed as a technical consultant for industry-leading AI companies (via Handshake), where I design and review high-fidelity training data and PhD-level reasoning benchmarks to stress-test model capabilities in biology, physics, and 3D modeling/animation.
Technical Stack: Maya, Blender, Unity, Python (Trimesh, NumPy, PyTorch), R (nlme, RRPP, ggplot).
I am currently based in Los Angeles (Open to Remote).
[LinkedIn] | [GitHub] | [Email: awrightmark@gmail.com]
Harvard University (2025), Ph.D. Evolutionary Biology; United States
Université de Montpellier (2018), M.Sc. Evolutionary Biology (MEME); France
University of Groningen (2018), M.Sc. Evolutionary Biology (MEME); Netherlands
Oakland University (2015), B.S. Biology; United States
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