Computer Vision Classification of Breast Cancer Tumors via Deep Learning
Binary and multi-class tumor classification using transfer learning (ResNet152) with PyTorch — strong accuracy on both binary and 6-class tasks.
Binary and multi-class tumor classification using transfer learning (ResNet152) with PyTorch — strong accuracy on both binary and 6-class tasks.
Hierarchical simulation & R Shiny app studying how luck, talent, risk preferences, and starting capital affect lifetime capital and success. Includes 29 animated visualizations and stepwise nonlinear regression analysis.
Interactive Tableau dashboard visualizing Olympics and GDP data — 270k+ rows and dynamic selectors for rich exploration.
Published in Neurology (Provisionally Accepted), 2025
This paper examines how cognitive reserve affects symptom onset and disease progression in Dominantly Inherited Alzheimer's Disease.
Recommended citation: Llibre-Guerra, J., Lu, R., Clarens, M. F., Liu, I., Renton, A., Ryan, N., Goate, A., Aguillon, D., Allegri, R. F., Benzinger, T., Berman, S., Chhatwal, J., Chrem, P., Vigo, G., Cruchaga, C., Day, G., Farlow, M., Fox, N., Gordon, B., Hassenstab, J., Huey, E., Ibanez, L., Ikeuchi, T., Jucker, M., Lee, J-H., Levey, A., Levin, J., Martins, R., Niimi, Y., Perrin, R., Rosa-Neto, P., Sanchez-Valle, R., Schofield, P., Wang, G., Li, Y., Xiong, C., Morris, J., Karch, C., Daniels, A., McDade, E., & Bateman, R. (2025). Effect of cognitive reserve on age of symptom onset and rate of cognitive decline in Dominantly Inherited Alzheimer's Disease. Neurology. (Provisionally Accepted).
Published in Alzheimer's Association International Conference (AAIC), 2025
Poster presentation on optimizing harmonized cortical morphometric GNNs for Alzheimer's disease risk prediction.
Recommended citation: Liu, I., Guo, E., Sathu, H., Rudolph, M. D., Bateman, J. R., Hughes, T. M., Craft, S., Metin, G., Luo, S., & Ma, D. (2025). Optimizing Harmonized Cortical Morphometric Graph Neural Networks (GNN) For Identifying Risk of Alzheimer's Disease. Poster presented at the Alzheimer's Association International Conference (AAIC).
Published in SPIE Medical Imaging 2026 (Submitted), 2026
Paper on explainable GNN methods for Alzheimer's disease risk prediction submitted to SPIE Medical Imaging 2026.
Recommended citation: Liu, I., & Ma, D. (2026). Explainable harmonized cortical graph neural networks for risk prediction of Alzheimer's disease. Paper submitted to SPIE Medical Imaging 2026.
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Tutoring, Online, 2020
Tutoring, Online, 2020
Graduate Course, Brown University, 2024
Graduate Course, Brown University, 2025