CV

PhD in Informatics (Biomedical & Health Informatics)

• Advisor: Dr. Saptarshi Purkayastha, Purkayastha Lab for Health Innovation
• Research focus on multimodal clinical AI, medical image analysis, and clinical decision support

Bachelor of Science in Electrical Engineering

• Concentration in Machine Learning and Controls
• Research Assistant in Statistical Visual Computing Lab, advised by Prof. Nuno Vasconcelos
• Research Assistant in Xu Research Group, advised by Prof. Sheng Xu

Counterfactual Lifestyle Prescription Engine for Metabolic Health

• Designing a causal clinical decision support system (CDSS) for Type 2 Diabetes that reframes management from population-level risk forecasting to individualized intervention on the treatment effect of diet, exercise, and environmental factors.
• Building a normative representation-learning model that embeds longitudinal CGM and wearable streams into a healthy-cohort latent space and scores each patient's physiological deviation from it.
• Adapting time-series causal architectures (causal Transformers) to emulate randomized trials on observational data under time-varying confounding, estimating individual treatment effects (ITE) for counterfactual lifestyle prescriptions.

TriageGuard: Evidence-Grounded Agentic Security Analysis for Open-Source EHRs

• Developing a human-in-the-loop security analysis pipeline for OpenMRS Core pull requests that freezes four Git states (merge base, current base, PR head, and synthetic merge candidate) to separate author changes, merge impact, and main-branch drift.
• Designing evidence-gated generation stages that turn grounded risk hypotheses into Gherkin security scenarios, requiring every claim to cite saved code evidence and revalidating human edits before approval.
• Implementing a bounded agent harness with read-only investigation tools, strict turn and evidence budgets, and deterministic offline replay, retaining a one-shot LLM pipeline as an experimental baseline.
• Maintaining a test suite spanning evidence integrity, replay determinism, and access containment; extending toward constrained test generation, differential execution, and CVSS 4.0 scoring.

Multimodal EEG-IMU Fusion for Robust Motor Assessment

• Developed a multimodal motor-assessment framework integrating 16-channel EEG and wrist-worn IMU signals across 10 motor activities to evaluate neural and kinematic modality complementarity.
• Implemented an EEGNet-Transformer model (~230K parameters) and a feature-engineered XGBoost IMU pipeline using 76 features per sensor across time-domain, frequency-domain, and 3D composite groups.
• Achieved 98.68 ± 0.32% activity-classification accuracy through logistic-regression late fusion, reducing EEG-only error by 81.5% and improving worst-task accuracy from ~87% to 96.76%.
• First-author paper accepted and presented at IEEE ICHI 2026.

Human-Guided Agentic AI for Multimodal Clinical Prediction

• Contributed to an AgentDS Healthcare benchmark submission; placed 5th overall in the healthcare domain and 3rd on discharge-readiness prediction.
• Led 30-day readmission prediction across 5,000 admissions, engineering 871 structured-EHR and discharge-note features from admission records, demographics, 5-year ED cost history, and trigram TF-IDF notes.
• Built a 5-base-model stacking ensemble using 3 XGBoost variants, L1/L2 logistic regression, and 8-fold out-of-fold meta-learning; achieved test Macro-F1 = 0.8986, within 0.006 of the top-ranked system.
• Co-author paper accepted and presented at IEEE ICHI 2026.

Frozen Foundation-Model Embeddings for Small-Lesion CXR Analysis

• Co-investigated preservation of small-scale diagnostic signal in frozen ViT foundation-model embeddings for chest radiography across 5 frozen models evaluated on NIH-CXR14, MIMIC-CXR, Emory-CXR, and ChestX-Det10 cohorts.
• Evaluated 492,724 chest radiographs and 3,543 ChestX-Det10 images with 1,462 lesion boxes across calcification, nodule, and mass categories.
• Demonstrated CLS pooling collapses small-scale signal to chance-level AUC = 0.500–0.524, while ROI-conditioned patch tokens recover ~AUC = 1.0 with mean per-model gains of +0.412 to +0.488.
• Second-author manuscript under review at Medical Image Analysis.

Summer Research Assistant

• Advised by Dr. Bridget Bannerman & Prof. Jorge Júlvez
• Conducted systems biology modeling to investigate how Mycobacterium tuberculosis infection alters macrophage metabolism and contributes to lung cancer progression.
• Implemented genome-scale metabolic models (iAB-AMØ-1410, iAB-AMØ-1410-Mt-661) in COBRApy to perform Flux Balance and Flux Variability Analyses for host–pathogen interaction mapping.
• Identified 223 infection-specific essential reactions and quantified nutrient dependencies through medium minimization to reveal candidate metabolic drug targets.
• Simulated infection-induced metabolic burden, showing a 92% reduction in macrophage biomass growth rate due to Mtb-driven energetic constraints.

Undergraduate Research Assistant

• Advised by Prof. Maurício de Oliveira & Prof. Jack Silberman
• Built a deep-learning autonomous vehicle on Raspberry Pi using TensorFlow, OpenCV, and the DonkeyCar framework for real-time lane detection, steering prediction, and obstacle avoidance with sub-150 ms inference latency.
• Curated and trained CNNs on 35,000+ labeled image frames while integrating sensors, motor drivers, and electronic control modules.
• Reduced vehicle failure rate from 25% to 3% through iterative testing and model optimization, enabling fully autonomous operation across 10 indoor and 6 outdoor laps.

Undergraduate Research Assistant

• Advised by Prof. Nuno Vasconcelos
• Developed a deep learning-based system for automated plankton image labeling and retrieval to support ecological research at the Scripps Institution of Oceanography.
• Applied transfer learning with ResNet-50 and InceptionResNetV2 and integrated Approximate Nearest Neighbor (ANN) search for large-scale image similarity retrieval.
• Boosted fine-grained plankton classification accuracy to 90% through targeted data augmentation strategies.

Undergraduate Research Assistant

• Advised by Prof. Sheng Xu
• Fabricated a stretchable conformal ultrasonic probe using laser micro-cutting and soft elastomer encapsulation for non-invasive cardiovascular monitoring.
• Modeled ultrasound beam patterns and penetration depth in MATLAB, validating simulation results against experimental measurements.
• Evaluated device stability and acoustic coupling under mechanical deformation to support signal fidelity during motion.
• Prepared IRB documentation and risk assessments for human-subject testing.
• Contributed to the resulting Nature Biomedical Engineering publication (2018).

Healthcare IT Solution Team Lead

• Led 5+ concurrent healthcare IT implementation projects across Yunnan Province, coordinating engineering teams, hospital administrators, and third-party vendors.
• Directed EHR system integration for client hospitals, aligning data interoperability, implementation continuity, and clinical workflow requirements.
• Improved project delivery rate from 75% to 90% by introducing milestone tracking, risk forecasting, and performance-monitoring workflows.
• Supported design and deployment of regional telemedicine and Internet Hospital platforms on China Mobile Cloud, reducing onboarding costs for smaller healthcare institutions by 55%.

Healthcare IT Project Solution Manager

• Managed end-to-end delivery of large-scale healthcare digital transformation projects totaling 21 million CNY, spanning medical networks, healthcare data platforms, and clinical information systems.
• Designed the VPDN Medical Insurance Account Management System; produced technical specifications and functional prototypes that improved delivery efficiency by 15% and achieved national software copyright certification.
• Led deployment of the Fangcang Shelter Hospital medical data transmission network during the COVID-19 response, completing implementation 10 days ahead of schedule while reducing labor costs by 8%.
• Collaborated with hospitals, insurers, and telecom engineering teams to deliver secure, high-availability medical data transmission infrastructure.

• Yin Z, Pulavarthy LP, Purkayastha S. "Multimodal EEG-IMU Fusion for Motor Assessment: Leveraging Task-Dependent Complementarity for Robustness." 2026 IEEE 14th International Conference on Healthcare Informatics (ICHI), pp. 204–213. doi:10.1109/ICHI69079.2026.00036.
• Pulavarthy LP, Muthyala R, Kuruvikkattil AV, Yin Z, Kudamala R, Purkayastha S. "Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmark." 2026 IEEE 14th International Conference on Healthcare Informatics (ICHI), pp. 1208–1217. doi:10.1109/ICHI69079.2026.00155.

• Wang C, Li X, Hu H, Zhang L, Huang Z, Lin M, Zhang Z, Yin Z, et al. "Monitoring of the central blood pressure waveform via a conformal ultrasonic device." Nature Biomedical Engineering, 2(9), 687–695. doi:10.1038/s41551-018-0287-x.

• Muthyala R, Yin Z, Jilla A, Li F, Dapamede T, Khosravi B, Chavoshi M, Gichoya J, Purkayastha S. "Frozen Foundation-Model Embeddings Discard Small-Lesion Signal in Chest Radiography: Implications for Pre-Deployment Evaluation." arXiv:2606.11606. Under review.
• Purkayastha S, Yin Z, Pradeep A, Zou X. "The Security Posture of Open-Source Electronic Health Records: A Reproducible Comparative Study." IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). Under review.
• Chen K, Pulavarthy LP, Naliyatthaliyazchayil P, Yin Z, Pathinarupothi RK, Bucher S, Purkayastha S. "Does the Curriculum Match the Literature? LLM-Judged Optimal Transport for Cross-Corpus Alignment." IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). Under review.
• Perumbilly AN, Yin Z, Bucher SL, Purkayastha S. "A Metadata-Driven ETL and Mapping Model for a Multimodal Diabetes Registry in DHIS2." IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Abstract. Under review.

• China Mobile VPDN Management System. National Software Copyright Registration, China. Certificate No. 10834368; Registration No. 2023SR0247197.

• Oral Presentation, First Author. "Multimodal EEG-IMU Fusion for Motor Assessment: Leveraging Task-Dependent Complementarity for Robustness." IEEE International Conference on Healthcare Informatics (ICHI), Minneapolis, MN, Jun 2026.
• Oral Presentation, Co-Author. "Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmark." Data Challenge Program @ IEEE ICHI 2026, Minneapolis, MN, Jun 2026.

• Oral Presentation, Co-Author. "Construction of a Hospital-wide Critical Illness Rescue Network Based on 5G for Severe Illness Early Warning Platform." 30 Finalists, 5G+ Healthcare Special Competition Finals, The 7th "Blooming Cup" 5G Application Competition.

• University Fellowship, Indiana University
• Human Research Biomedical Researcher - Stage 1, CITI
• Biomedical Responsible Conduct of Research, CITI
• GCP - Social and Behavioral Research Best Practices for Clinical Research, CITI

• Qualification of Telecommunication Professional, Ministry of Human Resources and Social Security & Ministry of Industry and Information Technology, China

• Certified LabVIEW Associate Developer (CLAD), National Instruments