CV

Education

• Ph.D in Biomedical Informatics, Indiana University, 2030 (expected)
• M.S. in Electrical and Computer Engineering, Carnegie Mellon University, 2024
• B.S. in Electrical and Computer Engineering, Addis Ababa University, 2020

Work experience

• 2025 - Present : Graduate Research Assistant
  • Indiana University Indianapolis
  • Supervisor: Dr. Rakesh Shiradkar
• 2023 - 2025 : Graduate Research Associate
  • Carnegie Mellon University | Upanzi Network
  • Supervisor: Dr. Carine Mukamakuza | Dr. Assane Gueye
• 2022 : Project Coordinator
  • CarLovers, LLC
• 2022 : Programmer
  • OM Consulting and Engineering
• 2021 - 2022 : Mobile Application Developer
  • CNET Software Technologies

Skills

• Programming Languages | Libraries
  • Python | Pytorch
  • Scikit-learn | Pandas | Matplotlib
  • Java | SQL | C | C#
  • Dot Net Core | Android | React-js
• Techniques | Models
  • Linear Regression | Logistic Regression
  • Deep Neural Networks
  • Computer vision | CNNs
  • Sequence-to-sequence modeling
  • Time Series Analysis

Publications

Machine Learning–Enhanced Foundation Model Classification of Rhabdoid Features in Clear Cell Renal Cell Carcinoma

Collins, K., DeMeo, D., Bogale, Y., Sutaria, A. M., Feldman, M., Shiradkar, R., & Sangoi, A. (2026). Machine Learning–Enhanced Foundation Model Classification of Rhabdoid Features in Clear Cell Renal Cell Carcinoma. Laboratory Investigation, 106(3).

Prediction of PM2. 5 concentration based on ARIMA, LSTM, and TCN models in Kigali, Rwanda

Bogale, Y.A., Kigali, R., Arinloye, C. and Muragijemariya, J., Prediction of PM2. 5 concentration based on ARIMA, LSTM, and TCN models in Kigali, Rwanda.

A Comparative Analysis of Deep Learning Models for Malaria Plasmodium Classification

C. P. Mukamakuza, A. D. Nishimwe Karasira, E. M. Akpo, Y. A. Bogale, P. Fasouli and M. Salem, "A Comparative Analysis of Deep Learning Models for Malaria Plasmodium Classification," 2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS), Nancy, France, 2024, pp. 1-4, doi: 10.1109/ICECS61496.2024.10848723.

Intelligent malaria detection and species classification: A case of Rwanda

Bogale, Y., Mukamakuza, C.P., Tuyishimire, E. (2024). Intelligent Malaria Detection and Species Classification: A Case of Rwanda. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Ninth International Congress on Information and Communication Technology. ICICT 2024 2024. Lecture Notes in Networks and Systems, vol 1002. Springer, Singapore. https://doi.org/10.1007/978-981-97-3299-9_41

Paper Title Number 4

Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).