Yudan

Bayu Aryoyudanta (Yudan)

I’m a PhD student at the University of Pittsburgh, working with Dr Parmanto in the Health and Rehabilitation Informatics (HARI) Lab. My research focuses on AI-enabled mHealth and AI-mediated behavioral health interventions, with the goal of advancing precision rehabilitation to support better rehabilitation journeys for individuals with chronic conditions.

Research interests: Rehabilitation, Behavioral Health Interventions, mHealth, Clinical NLP, Large Language Models, Human-AI Interaction.

Full CV, email, GitHub, Google Scholar

News

Nov 8, 2026 — Presenting “Multi-Agent AI for Personalized Rehabilitation” (podium) at the AMIA 2026 Annual Symposium, work from the HARI Lab.
Nov 10, 2026 — Presenting “Clinical Concept Extraction from Synthetic Nurse Dictation Using Small Language Models and Reinforcement Learning” (podium) at AMIA 2026, the conference-talk version of the MEDIQA-SYNUR paper Clinical NLP Workshop @ LREC 2026.
Nov 10, 2026 — Presenting “Measuring Empathy in Consumer Health AI Chatbots: A Case Study in Acute Spinal Cord Injury” (poster) at AMIA 2026, work from the the HARI Lab.
Jul 2026 — Co-authored “Expert validation of AI-generated clinical assessment items for physician assistant certification,” submitted to npj Digital Medicine — currently under review.
May 2026 — First-author paper published at the Clinical NLP Workshop @ LREC 2026: fine-tuning a sub-2B-parameter LLM with RLVR for clinical observation extraction from nurse dictation.

Selected publications

Aryoyudanta, B., Yuliana, M., Rachman, M., Setiawan, I.M.A. (2026). Night Shift Nerds at MEDIQA-SYNUR 2026: Pushing Small Large Language Model Capability for Clinical Observation Extraction and Normalization from Nurse Dictation using RLVR. Clinical NLP Workshop @ LREC 2026. PDF, code
Parmanto, B., Aryoyudanta, B., et al. (2024). A Reliable and Accessible Caregiving Language Model (CaLM) to Support Tools for Caregivers: Development and Evaluation Study. JMIR Formative Research. PDF

Full publication list

Recent writing

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Selected projects

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--- title: "" listing: - id: latest-posts contents: posts type: default max-items: 3 sort: "date desc" categories: false fields: [date, title, description] - id: selected-projects contents: projects type: grid max-items: 3 sort: "date desc" fields: [title, description] --- ## Bayu Aryoyudanta (Yudan) I'm a PhD student at the University of Pittsburgh, working with Dr Parmanto in the Health and Rehabilitation Informatics (HARI) Lab. My research focuses on AI-enabled mHealth and AI-mediated behavioral health interventions, with the goal of advancing precision rehabilitation to support better rehabilitation journeys for individuals with chronic conditions. **Research interests:** Rehabilitation, Behavioral Health Interventions, mHealth, Clinical NLP, Large Language Models, Human-AI Interaction. [Full CV](cv.qmd), [email](mailto:baa181[at]pitt.edu), [GitHub](https://github.com/yudanta), [Google Scholar](https://scholar.google.com/citations?user=BAPvht8AAAAJ) ## News - **Nov 8, 2026** — Presenting "Multi-Agent AI for Personalized Rehabilitation" (podium) at the AMIA 2026 Annual Symposium, work from the [HARI Lab](https://hari.pitt.edu). - **Nov 10, 2026** — Presenting "Clinical Concept Extraction from Synthetic Nurse Dictation Using Small Language Models and Reinforcement Learning" (podium) at AMIA 2026, the conference-talk version of the MEDIQA-SYNUR paper [Clinical NLP Workshop @ LREC 2026](https://aclanthology.org/2026.clinicalnlp-1.18/). - **Nov 10, 2026** — Presenting "Measuring Empathy in Consumer Health AI Chatbots: A Case Study in Acute Spinal Cord Injury" (poster) at AMIA 2026, work from the the [HARI Lab](https://hari.pitt.edu). - **Jul 2026** — Co-authored "Expert validation of AI-generated clinical assessment items for physician assistant certification," submitted to *npj Digital Medicine* — currently under review. - **May 2026** — First-author paper published at the [Clinical NLP Workshop @ LREC 2026](https://aclanthology.org/2026.clinicalnlp-1.18/): fine-tuning a sub-2B-parameter LLM with RLVR for clinical observation extraction from nurse dictation. ## Selected publications 1. **Aryoyudanta, B.**, Yuliana, M., Rachman, M., Setiawan, I.M.A. (2026). Night Shift Nerds at MEDIQA-SYNUR 2026: Pushing Small Large Language Model Capability for Clinical Observation Extraction and Normalization from Nurse Dictation using RLVR. *Clinical NLP Workshop @ LREC 2026.* [PDF](https://aclanthology.org/2026.clinicalnlp-1.18.pdf), [code](https://github.com/yudanta/nsn-mediqa-synur) 2. Parmanto, B., **Aryoyudanta, B.**, et al. (2024). A Reliable and Accessible Caregiving Language Model (CaLM) to Support Tools for Caregivers: Development and Evaluation Study. *JMIR Formative Research.* [PDF](https://formative.jmir.org/2024/1/e54633) [Full publication list](cv.qmd#publications) ## Recent writing :::{#latest-posts} ::: [See all posts](blog.qmd) ## Selected projects :::{#selected-projects} ::: [See all projects](projects.qmd)