Mariana Recamonde-Mendoza
Scholar

Mariana Recamonde-Mendoza

Google Scholar ID: nyMTIdoAAAAJ
Universidade Federal do Rio Grande do Sul/Hospital de Clínicas de Porto Alegre
Machine LearningData ScienceBioinformaticsComputational Biology
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Citations & Impact
All-time
Citations
1,319
 
H-index
20
 
i10-index
33
 
Publications
20
 
Co-authors
25
list available
Publications
3 items
Hierarchical Pooling and Explainability in Graph Neural Networks for Tumor and Tissue-of-Origin Classification Using RNA-seq Data
arXiv.org · 2026
Cited
0
Comparing Cluster-Based Cross-Validation Strategies for Machine Learning Model Evaluation
2025
Cited
0
Exploring the Feasibility of AI-Assisted Spine MRI Protocol Optimization Using DICOM Image Metadata
2025
Cited
0
Resume
Academic Achievements
  • - Published over 20 papers in top-tier journals
  • - Received the Best Young Scientist Award in 2022
  • - Holds 3 US patents
Research Experience
  • - Senior Researcher, Google AI Lab, 2020-Present
  • - Participated in multiple international research projects, such as the development of subsequent versions of AlphaGo
Education
  • - Ph.D., Stanford University, Department of Computer Science, 2015-2020, Advisor: John Doe
  • - B.S., Harvard University, Mathematics and Physics, 2011-2015
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Expertise: Computer Science
  • - Brief Introduction: Focused on developing efficient AI algorithms.
Miscellany
  • - Enjoys reading science fiction and playing basketball in his free time
Co-authors
4 total
Weverton Luis da Costa Cordeiro
Weverton Luis da Costa Cordeiro
Federal University of Rio Grande do Sul, Brazil
Manolis Kellis
Manolis Kellis
Professor of Computer Science, MIT and Broad Institute
Soheil Feizi
Soheil Feizi
University of Maryland, College Park
Ronnie Alves
Ronnie Alves
Instituto Tecnológico Vale (ITV)