Alberto Mario Ceballos-Arroyo
(he/him)
PhD Student
Research interests
- Artificial intelligence and applications to healthcare
- Computer vision
- Natural language processing
Education
- MSc in Computer Science, Universidad Nacional de Colombia — Colombia
- BA in Translation, Universidad de Antioquia — Colombia
- BSc in Computer Science, Universidad del Magdalena — Colombia
Biography
Alberto Mario Ceballos Arroyo is a PhD student in the Khoury College of Computer Sciences at Northeastern University, based in Boston. He is advised by Huaizu Jiang and Byron Wallace.
Ceballos Arroyo’s research brings insight about human anatomy to the design of deep learning architectures for health care purposes. Over the course of his PhD studies, he has often applied this approach to aneurysm detection models — using creative solutions like vessel segmentations to sidestep limited data availability — and to vision-language models to tackle longitudinal detection.
Ceballos Arroyo joined Khoury College in 2021 to pursue a PhD focused on computer vision, natural language processing, and health care; in doing so, he collaborates regularly with Harvard Medical School. He received a Fulbright award in 2021 and has published work in conferences such as MICCAI and WACV. Before joining Khoury College, he focused his master’s studies on bioinformatics and computer vision.
In his free time, Ceballos Arroyo enjoys spending time with his cats, Apolo and Nova; reading favorite books like Roadside Picnic; and participating in activities organized by Latino Outdoors.
Labs and groups
Recent publications
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Open (Clinical) LLMs are Sensitive to Instruction Phrasings
Citation: Alberto Mario Ceballos-Arroyo, Monica Munnangi, Jiuding Sun, Karen Y. C. Zhang, Denis Jered McInerney, Byron C. Wallace, Silvio Amir. (2024). Open (Clinical) LLMs are Sensitive to Instruction Phrasings BioNLP@ACL, 50-71. https://aclanthology.org/2024.bionlp-1.5 -
Design of antimicrobial and cytolytic peptides by computational analysis of bacterial, algal, and invertebrate proteomes
Citation: Duque-Salazar, G.; Mendez, E.; Ceballos-Arroyo, A. & Orduz, S. (2020). "Design of antimicrobial and cytolytic peptides by computational analysis of bacterial, algal, and invertebrate proteomes," Amino Acids, vol. 52, pp. 1403–1412. DOI: 10.1007/s00726-020-02900-w -
A Morphological Convolutional Autoencoder for Segmenting Pigmented Skin Lesions
Citation: Ceballos-Arroyo, A.; Robles, S.; and Sanchez, G. (2020) "A morphological convolutional autoencoder for segmenting pigmented skin lesions," Engineering Letters, vol. 28, no.3, pp. 213-224