Hi, I am Fernando Zhapa-Camacho. I am a Ph.D. candidate at KAUST in Saudi Arabia in the BORG group under the supervision of prof. Robert Hoehndorf. My research interests are neuro-symbolic AI, ontology embedding and representation learning, with applications to bioinformatics.


Hobbies

I practice football and chess.

News

February, 2025

NeSy 2025: Invited as PC member

September, 2024

Attending NeSy 2024 at Barcelona

August, 2024

Attending BioHackathon Japan 2024 in Fukushima

August, 2024

Added as PC member in AAAI Fall Symposium

July, 2024

Attending ESSLLI 2024 at KU Leuven

June, 2024

Publication accepted in NeSy 2024

June, 2024

Added to the CEMSE Dean's List 2024

March, 2024

Publication accepted in ISMB 2024



Preprints

An inductive, supervised approach for predicting gene--disease associations using phenotype ontologies

Preprint

Safana Bakheet, Fernando Zhapa-Camacho, Robert Hoehndorf



Fully Geometric Multi-Hop Reasoning on Knowledge Graphs with Transitive Relations

Preprint

Fernando Zhapa-Camacho, Robert Hoehndorf

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Selected Publications

Ontology Embedding: A Survey of Methods, Applications and Resources

IEEE TKDE

Jiaoyan Chen, Olga Mashkova, Fernando Zhapa-Camacho, Robert Hoehndorf, Yuan He, Ian Horrocks



Neuro-Symbolic AI in Life Sciences

Frontiers in Artificial Intelligence and Applications

Robert Hoehndorf, Catia Pesquita, Fernando Zhapa-Camacho



Lattice-preserving ALC ontology embeddings

NeSy 2024

Fernando Zhapa-Camacho, Robert Hoehndorf

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Predicting protein functions using positive-unlabeled ranking with ontology-based priors

ISMB 2024

Fernando Zhapa-Camacho, Zhenwei Tang, Maxat Kulmanov, Robert Hoehndorf

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From axioms over graphs to vectors, and back again: evaluating the properties of graph-based ontology embeddings

NeSy 2023

Fernando Zhapa-Camacho, Robert Hoehndorf

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mOWL: Python library for machine learning with biomedical ontologies

Bioinformatics, Volume 39, Issue 1

Fernando Zhapa-Camacho, Maxat Kulmanov, Robert Hoehndorf

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