Rafael Ayala

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Research Associate
OIST, Okinawa, Japan



I completed my BSc in Biochemistry at the University of Seville in 2014, and received my PhD in 2020 at Imperial College London. I am currently a postdoctoral researcher at the Okinawa Institute of Science and Technology Graduate University, Japan. My PhD focused on the analysis of the structure of biological macromolecules by cryo-EM, which is still one of my main research interests. Recently, I have also become interested in the analysis of geospatial data, such as aircraft tracking and satellite positioning, as well as the application of machine learning techniques to these fields.


Publications

7 entries « 1 of 2 »

2025

Calderón, José; Ayala, Daniel; Ayala, Rafael; Valencia-Cabrera, Luis; Hernández, Inma; Ruiz, David

Refining satellite trajectories with celestial body features using neural networks Journal Article

In: Expert Systems with Applications, vol. 281, pp. 127453, 2025, ISSN: 0957-4174.

Links | BibTeX

Sola, Fernando; Ayala, Daniel; Pulido, Marina; Ayala, Rafael; López-Cerero, Lorena; Hernández, Inma; Ruiz, David

Gintegrator: Enhancing biological sequences data integration with real-time identifier translation Journal Article

In: SoftwareX, vol. 29, pp. 102041, 2025, ISSN: 2352-7110.

Links | BibTeX

2024

Sola, Fernando; Ayala, Daniel; Pulido, Marina; Ayala, Rafael; López-Cerero, Lorena; Hernández, Inma; Ruiz, David

ginmappeR: an unified approach for integrating gene and protein identifiers across biological sequence databases Journal Article

In: Bioinformatics Advances, vol. 4, no. 1, pp. vbae129, 2024, ISSN: 2635-0041.

Links | BibTeX

2023

Ayala, Daniel; Ayala, Rafael; Vidal, Lara Sellés; Hernández, Inma; Ruiz, David

Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance Journal Article

In: IEEE Access, vol. 11, pp. 26593-26610, 2023, ISSN: 2169-3536.

Links | BibTeX

Ayala, Rafael; Ayala, Daniel; Vidal, Lara Sellés; Ruiz, David

asteRisk - Integration and Analysis of Satellite Positional Data in R. Journal Article

In: R Journal, vol. 15, no. 1, pp. 34-54, 2023, ISSN: 2073-4859.

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Sola, Fernando; Ayala, Daniel; Ayala, Rafael; Hernández, Inma; Rivero, Carlos R; Ruiz, David

AYNEXT-tools for streamlining the evaluation of link prediction techniques Journal Article

In: SoftwareX, vol. 23, pp. 101474, 2023, ISSN: 2352-7110.

Links | BibTeX

7 entries « 1 of 2 »