About Me
Hello I'm Yudha. I'm a PhD student in International Biotech and Healthcare Management, Taipei Medical University. My current thesis is predicting colorectal cancer using real-world data such as electronic health records. My current research interest is digital health. Besides playing with data, I love Walking, Cycling, and Japanese Pop Culture. Nice to meet you!
📑 Research
Herewith I post some of my recent research projects that made it into publications or conferences.
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Predicting CRLM using TMUCRD Mapped-OMOP-OHDSI
After we got feedback from practitioners, CRLM is more concerning than HCC. Thus, we pivoted to CRLM. Liver Metastases is one of the most prevalent malignancies that cause mortality among colorectal cancer patients where 25-30% affected by the malignancy worldwide. Predicting the occurrence of colorectal cancer liver metastases (CRLM) could benefit physicians in deciding the diagnoses. We created a prediction model using machine learning on electronic health records to discover susceptible characteristics for secondary malignant neoplasm of liver cancer in colorectal cancer patients.
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Predicting Hepatic Carcinoma from Colorectal Cancer Patient using Machine Learning
Liver is a common organ target of metastasis for colorectal cancer, which indicates the possibility of nonmetastatic cancer. We created a prediction model using machine learning on electronic health records to discover susceptible characteristics for liver cancer in colorectal cancer patients.
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Bridging a Resilient Recovery Post-Pandemic through Digital Health Transformation
Pandemic situations changed everything. In 2022, with the Indonesia Student Overseas Association, we created a brief on how digital health helps to cope with COVID-19 around certain countries.
🚀 Projects
Scholaraio
AI-powered academic tool built with Next.js and Supabase for student learning and research assistance.
Live Demo | GitHubAgnoai Agent Design Demo
This is a conceptual demo showing how I would design a multi-agent system inspired by AgnoAI, using YAML configuration, planner roles, and tool integrations.
Live Demo (Coming soon) | GitHubRAG Health QA
A lightweight Retrieval-Augmented Generation (RAG) system designed to answer health-related questions using FAISS for vector search and HuggingFace Transformers for generation.
Live Demo (Coming soon) | GitHubResearch Companion Agent
Research Companion Agent is a lightweight demonstration of how the new OpenAI Agent Builder and openai Python SDK can automate structured research analysis.
Live Demo (Coming soon) | GitHubBlog
Oct 22, 2025
The Physics of the Soul: Why Future Robots May Need One TooAs humanity builds smarter machines – large language models, embodied robots, and early AGIs – one quiet question keeps echoing in the background: Will they ever need a soul?
May 25, 2025
When Humanoids AGI HereWhen I was a kid, I loved to play Megaman (or even now) and watched Doraemon. I love the way the imagination was presented using the advanced robotics. For Mega Man games, it’s more like a cool armor, robots, and the good will of fighting against the bad ones. For Doraemon, of course, the magic ofon's 4-Dimensional Pocket, which was able to give Nobita unparalleled devices from the future. All that sci-fi like stuff is engraved in my brain. When I realized we’re here already: at the front door of humanoids and AGI.
Coming soon! Stay tuned for updates on my research and thoughts.
Contact Me
Feel free to send Hi!