Rate My Professor Guadalupe Canahuate

Among her key publications are 'THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy' (2021, cited over 40 times), 'Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes' (2021), 'Precision risk analysis of cancer therapy with interactive nomograms and survival plots' (2018, cited over 50 times), 'Spatially-aware clustering improves AJCC-8 risk stratification performance in oropharyngeal carcinomas' (2023), and 'Indexing Incomplete Databases' (2006, cited nearly 30 times). With 96 publications, her work has accumulated over 1,500 citations on platforms like Google Scholar and ResearchGate. Canahuate was selected as an innovative early-career engineer for the National Academy of Engineering's 2020 US Frontiers of Engineering Symposium. She has led or co-led grants including NSF Research Experiences for Undergraduates programs, Jumpstarting Tomorrow Seed Grants for addressing health disparities and biases in AI and machine learning tools, and collaborations with MD Anderson Cancer Center. At the University of Iowa, she instructs courses in electrical and computer engineering and computer science, mentors graduate students, and contributes to initiatives in data science, computing, and artificial intelligence.