CV

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Education

PhD in Rehabilitation Science — University of Pittsburgh, 2024–present: Supervised by Bambang Parmanto, PhD.

MEng in Information Technology — Gadjah Mada University, 2016

BSc in Information Technology Education — Yogyakarta State University, 2012

Research experience

Graduate Student Researcher, School of Health and Rehabilitation Science, University of Pittsburgh — 2024–present: PhD research on AI-enabled mHealth and AI-mediated behavioral health interventions — using generative AI and AI agents as ecological momentary interventions for individuals with disabilities and chronic conditions.
Research Scientist, Health and Rehabilitation Informatics (HARI) Lab, University of Pittsburgh — 2023–2024: Built the Caregiving Language Model (CaLM), a retrieval-augmented, fine-tuned language model grounded in a caregiving knowledge base, to give family caregivers of people with Alzheimer’s and related dementias a more reliable alternative to a general-purpose chatbot. Published in JMIR Formative Research (2024).
Technical Support, Volunteer, IISE Diplomacy Lab, University of Pittsburgh — 2022–2023: Built automatic keyword extraction for a corpus affiliated with the U.S. State Department, cutting the time and cost of producing consular-training keyword lists by about 80%.

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. Proceedings of the 8th Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2026, 163–173. ACL Anthology
Parmanto, B., Aryoyudanta, B., Soekinto, T.W., Setiawan, I.M.A., Wang, Y., Hu, H., Saptono, A., Choi, Y.K. (2024). A Reliable and Accessible Caregiving Language Model (CaLM) to Support Tools for Caregivers: Development and Evaluation Study. JMIR Formative Research, 8:e54633. DOI
Aryoyudanta, B., Adji, T.B., Hidayah, I. (2016). Semi-supervised Learning Approach for Indonesian Named Entity Recognition (NER) using Co-Training Algorithm. 2016 International Seminar on Intelligent Technology and Its Applications (ISITIA), 7–12. Semantic Scholar

Under review: Setiawan, I.M.A., Yuliana, M., Aryoyudanta, B., Indradhirmaya, F.A., Patel, D., Beck, D.C., Saptono, A., Hu, H., Parmanto, B. Expert validation of AI-generated clinical assessment items for physician assistant certification: a multi-dimensional rubric and dual-reliability method. npj Digital Medicine (under review). Preprint

Skills

Programming: Python, Bash, JavaScript

ML / NLP: PyTorch, TensorFlow, HuggingFace Transformers & TRL; classical methods (Bayesian, SVM, KNN, K-Means, Markov models) through modern generative AI (RAG, RLVR/GRPO fine-tuning, autoregressive and vision-language models)

Teaching & service

Teaching Assistant, Department of Health Information Management, SHRS, University of Pittsburgh — Fall 2025–present: HI 2453 (Machine Learning in Health Science), HI 2021 (Practical Statistics & Programming Using R), HI 1454 (Data Science in Health Informatics), HI 2460 (Data Science & Machine Learning), HI 2022 (Introduction to Python for Health Informatics).

--- title: "CV" --- [Download as PDF](files/cv.pdf){.btn .btn-outline-secondary role="button"} ## Education **PhD in Rehabilitation Science** — University of Pittsburgh, 2024–present : Supervised by Bambang Parmanto, PhD. **MEng in Information Technology** — Gadjah Mada University, 2016 **BSc in Information Technology Education** — Yogyakarta State University, 2012 ## Research experience **Graduate Student Researcher**, School of Health and Rehabilitation Science, University of Pittsburgh — 2024–present : PhD research on AI-enabled mHealth and AI-mediated behavioral health interventions — using generative AI and AI agents as ecological momentary interventions for individuals with disabilities and chronic conditions. **Research Scientist**, Health and Rehabilitation Informatics (HARI) Lab, University of Pittsburgh — 2023–2024 : Built the Caregiving Language Model (CaLM), a retrieval-augmented, fine-tuned language model grounded in a caregiving knowledge base, to give family caregivers of people with Alzheimer's and related dementias a more reliable alternative to a general-purpose chatbot. Published in *JMIR Formative Research* (2024). **Technical Support, Volunteer**, IISE Diplomacy Lab, University of Pittsburgh — 2022–2023 : Built automatic keyword extraction for a corpus affiliated with the U.S. State Department, cutting the time and cost of producing consular-training keyword lists by about 80%. ## 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. *Proceedings of the 8th Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2026*, 163–173. [ACL Anthology](https://aclanthology.org/2026.clinicalnlp-1.18/) 2. Parmanto, B., **Aryoyudanta, B.**, Soekinto, T.W., Setiawan, I.M.A., Wang, Y., Hu, H., Saptono, A., Choi, Y.K. (2024). A Reliable and Accessible Caregiving Language Model (CaLM) to Support Tools for Caregivers: Development and Evaluation Study. *JMIR Formative Research*, 8:e54633. [DOI](https://doi.org/10.2196/54633) 3. **Aryoyudanta, B.**, Adji, T.B., Hidayah, I. (2016). Semi-supervised Learning Approach for Indonesian Named Entity Recognition (NER) using Co-Training Algorithm. *2016 International Seminar on Intelligent Technology and Its Applications (ISITIA)*, 7–12. [Semantic Scholar](https://api.semanticscholar.org/CorpusID:14206155) **Under review:** Setiawan, I.M.A., Yuliana, M., **Aryoyudanta, B.**, Indradhirmaya, F.A., Patel, D., Beck, D.C., Saptono, A., Hu, H., Parmanto, B. Expert validation of AI-generated clinical assessment items for physician assistant certification: a multi-dimensional rubric and dual-reliability method. *npj Digital Medicine* (under review). [Preprint](https://doi.org/10.21203/rs.3.rs-10475937/v1) ## Skills **Programming:** Python, Bash, JavaScript **ML / NLP:** PyTorch, TensorFlow, HuggingFace Transformers & TRL; classical methods (Bayesian, SVM, KNN, K-Means, Markov models) through modern generative AI (RAG, RLVR/GRPO fine-tuning, autoregressive and vision-language models)  ## Teaching & service **Teaching Assistant**, Department of Health Information Management, SHRS, University of Pittsburgh — Fall 2025–present : HI 2453 (Machine Learning in Health Science), HI 2021 (Practical Statistics & Programming Using R), HI 1454 (Data Science in Health Informatics), HI 2460 (Data Science & Machine Learning), HI 2022 (Introduction to Python for Health Informatics).