Alberto Maria Pepe

Research Scientist @ FAIR, Meta Superintelligence Labs

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Building the next generation of Artificial Research Scientists. Previously at Microsoft ('22, '24, '25) and Huawei ('23).

scholar researchgate linkedin github mail
Experience
Meta - London, UK - Sep 25 - present
AI Research Agents - FAIR.
Microsoft - Remote - May 25 - Jul 25
Vision-Language Models, Applied Sciences Group.
Microsoft - Redmond, WA - Jun 24 - Sep 24
Diffusion Models, Applied Sciences Group.
Huawei - Munich, Germany - Oct 23 - Mar 24
Neural Operators, Intelligent Cloud Technologies Lab.
Microsoft Research - Cambridge, UK - Feb 22 - May 22
Surrogate Physics Models, Cloud Infrastructure Group.
Projects
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Muse Glimmer
2026
post / hf
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Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
ArXiv, 2026
paper
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AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents
ArXiv, 2026
paper
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Machine Learning with Geometric Algebra: Multivectors for Modelling, Understanding and Computing
★ BMVA Sullivan Doctoral Thesis Prize
University of Cambridge, 2025
PhD thesis
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Geometric Inductive Priors in Diffusion-Based Optical Flow Estimation
ICCV 2025 - BEW, Honolulu, HI
paper / code / poster / slides
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Define, Refine, Align: Correspondence-free 3D Line Alignment with Attentional, Equivariant and Rotational Layers
CVPR 2025 - PBVS, Nashville, TN
paper / code / poster / slides
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Reinforce Loss for QwenChat LLM [sandbox]
Apr 2025, just for fun
code
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Vision Transformer for Weather Forecasting [sandbox]
Mar 2025, just for fun
code
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Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics
ICLR 2025, Singapore [with Huawei]
paper / code / poster / slides / video
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Conditional Diffusion U-Net in 3D Space for Protein Coordinates Estimation
Feb 2025, just for fun
code
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Torch-GA: Building Geometric Algebra Networks in PyTorch
Jan 2025
code
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STAResNet: A Network in Spacetime Algebra to Solve Maxwell's PDEs
AGACSE 2024, Amsterdam
paper / code / slides
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DPGNN: Differentiable Physics-and Geometry-Assisted Network for 2D Flow Estimation
AGACSE 2024, Amsterdam
abstract+poster
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GA-ReLU: an activation function for Geometric Algebra Networks applied to 2D Navier-Stokes PDEs
ICLR 2024, AI4DifferentialEquations in Science, Vienna
paper / code / poster
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CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-aware Camera Pose Regression
WACV 2024, Waikoloa, HI
paper / code / poster / slides / video
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Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction
NLDL 2024, Tromsø
paper / code / poster / slides
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CGA-PoseNet: Camera Pose Regression via a 1D-Up Approach to Conformal Geometric Algebra
ArXiv, 2023
paper / code
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Modeling orientational features via geometric algebra for 3D protein coordinates prediction
★ Best Paper & Presentation Award @ ENGAGE
Mathematical Methods in the Applied Sciences, 2023
paper
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POSEIDONIA
MIT Media Lab, Ancient Future Technology, 2022
website
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Geometric Algebra Models of Proteins for Three-Dimensional Structure Prediction: A Detailed Analysis
★ Best Paper Award: Industry-ready GA-based novelty @ ICACGA
Advanced Computational Applications of Geometric Algebra, Springer Nature, 2022
paper
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Using a Graph Transformer Network to Predict 3D Coordinates of Proteins via Geometric Algebra Modelling
CGI 2022, ENGAGE Workshop, Geneva / Lecture Notes in Computer Science
paper
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Geometric Algebra Models of Proteins for Three-Dimensional Structure Prediction
ICACGA 2022, Denver, CO
paper+slides
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Learning Rotations
Mathematical Methods in the Applied Sciences, 2023 / AGACSE 2021, Brno
paper / code
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Machine Learning Approaches to Digital Signal Processing for Optical and Wireless Communications
★ Best Poster Award @ ACP '19 (Chengdu, China)
★ Best Presentation Award @ TBSI Workshop on Data Science '19
TBSI, 2020
MSc thesis
Talks
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Learning with an edge: a practical approach to blades in Geometric Algebra
Microsoft ASG, May 2025
slides
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Seeing Through PDEs: an Interpretable Neural Operator Pipeline for Joint Estimation of Physical Quantities
PhysicsX, Invited Talk, Apr 2025
slides
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Solving PDEs with Geometric Algebra Networks
Cambridge-Brno Workshop, Apr 2025
slides
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Molecular Geometry Optimization through Rotor-based Evolutionary Algorithm
ICCA 2023, Holon, Israel [joint work with Scuola Normale Superiore, Pisa, Italy]
slides
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Geometric Algebra in Protein Structure Prediction
Institute of Mathematics, Brno University of Technology, Dec 2021
slides
Education
University of Cambridge - PhD, Oct 20 - Jun 25
Probabilistic Systems, Information, and Inference Group (PSI²)
Thesis: Machine Learning with Geometric Algebra: Multivectors for Modelling, Understanding and Computing
Supervisors: Joan Lasenby, José Miguel Hernández-Lobato
Examiners: Petar Veličković , Johannes Brandstetter
Tsinghua - UC Berkeley Shenzhen Institute (TBSI) - M.Sc. 18-20
Data Science & Information Technology
Thesis: Machine Learning Approaches to Digital Signal Processing in Optical and Wireless Communication
Final Grade: A, GPA: 3.91/4
Politecnico di Torino - B.Sc. 15-18
Electronic & Communications Engineering
Final Grade: 110/110 cum laude, GPA: 29.6/30
Tongji University - B.Sc. 16-17 (Exchange)
Information Technology Engineering
GPA: 29.2/30