Benoit L. Marteau

Last-year Ph.D. student in Electrical & Computer Engineering at Georgia Tech, working at the intersection of Biomedical AI, XR, and Trustworthy AI & Data.

Awards & Leadership

STAR-AI Symposium 2026 Organizing Committee - Safe, Trustworthy, Actionable, and Responsible AI in Healthcare
NSF-Google-EMBS Award - IEEE BHI 2025
IEEE BHI 2025 Young Professionals Co-Chair - IEEE International Conference on Biomedical and Health Informatics
NSF Student Travel Award - IEEE BHI 2024
IEEE ICIR 2022 Best Paper Award - "IDTVR: A Novel Cloud Framework for an Interactive Digital Twin in Virtual Reality"
ECE-Coulter Shenzhen M.S. Fellowship - Georgia Tech (2019)
3rd Place, Dassault UAV Challenge (2017) - Team lead, Arts et Métiers ParisTech (first team to use deep learning in the competition)

About

I am a last-year Ph.D. student in Electrical & Computer Engineering at Georgia Tech (expected 2027), advised by Dr. May D. Wang. I have served as Lab Manager of the Bio-MIBLab for three years. I hold a Diplôme d'Ingénieur from Arts et Métiers ParisTech (2016–2020) and an M.S. in Electrical & Computer Engineering from Georgia Tech (2019) through a double-diploma program. I interned at Cisco (2020) and worked as a Research Assistant in the Coskun Lab at Georgia Tech (2021), where I focused on single-cell imaging and AI-driven analysis, before joining Dr. Wang's lab to start my Ph.D. in 2022.

My research centers on Trustworthy AI and Data in healthcare. I develop methods for healthcare data quality assessment and improvement, medical data standardization and harmonization (including FHIR and OMOP CDM v5.4), and agentic AI systems for multimodal clinical data. I also investigate eXtended Reality (XR) and brain digital twin technologies for clinical applications, as well as world models and representation learning.

As Lab Manager, I oversee a laboratory of over 50 graduate and undergraduate students and directly mentor 12+ researchers. I coordinate lab computational infrastructure including Azure cloud environments and serve on the organizing committees for IEEE BHI 2025 and the STAR-AI Symposium 2026.

I have authored 30+ peer-reviewed publications (9 first/co-first author) and developed XR applications using Unity with Meta SDK for brain visualization and rehabilitation research.

I completed the TI:GER (Technology Innovation: Generating Economic Results) Program, a three-semester entrepreneurship program at Georgia Tech focused on translating research into impactful technologies.

Outside of research, I am passionate about aerospace, robotics, and drones. I led the Arts et Métiers team at the 2017 Dassault UAV Challenge (3rd place, first team to use deep learning in the competition). I also enjoy model trains, space exploration, and playing piano. I am fluent in both English and French (native).

Technical Skills

Languages

Python C# C++ SQL

AI/ML

PyTorch TensorFlow Hugging Face LLMs Diffusion Models Computer Vision

XR Development

Unity Meta SDK

Cloud & Data

Azure (IoT Hub, ML, Blob) MS Fabric Docker FHIR OMOP CDM

Research Interests

Trustworthy AI & Data Healthcare Data Quality Medical Data Harmonization Agentic AI World Models & JEPA Brain Digital Twins Extended Reality in Healthcare Clinical Decision Support Biomedical Imaging Representation Learning

Publications

2026

Benchmarking LLM Summaries of Multimodal Clinical Time Series for Remote Monitoring

Shukla, A., Yuan, Y., Tamo, J. B., Wang, Y., Nnamdi, M. C., Marteau, B. L., Tan, S. Q. Y., Li, J., Willingham, B., & Wang, M. D. ICLR 2026 TSALM Workshop
EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models

Tamo, J. B., Lu, Y., Marteau, B. L., Nnamdi, M. C., & Wang, M. D. arXiv preprint
RobustMedSAM: Degradation-Resilient Medical Image Segmentation via Robust Foundation Model Adaptation

Li, J., Chen, M., Nnamdi, M. C., Tamo, J. B., Marteau, B. L., & Wang, M. D. CVPR 2026 CV4Clinical Workshop
Tree-of-Evidence: Efficient 'System 2' Search for Faithful Multimodal Grounding

Nnamdi, M. C.*, Marteau, B. L.*, Zhong, Y., Tamo, J. B., & Wang, M. D. ACL 2026 Findings

2025

EXR: An Interactive Immersive EHR Visualization in Extended Reality

Marteau, B. L.*, Tan, S. Q. Y.*, Li, J., Hornback, A., Zhong, Y., Wang, S., Lowson, C., Woloff, J., Pahys, J. M., Hwang, S. W., Hilton, C., & Wang, M. D. IEEE International Conference on Intelligent Reality (ICIR)
Generative Speech-to-Mesh AI Pipeline for Personalized VR Experience

Tan, S. Q. Y., Marteau, B. L., Chouhan, N. S., Yuan, Y., Hornback, A., Zhong, Y., Donahue, S., Chafetz, R., & Wang, M. D. IEEE International Conference on Intelligent Reality (ICIR)
An AI Implementation Science Study to Improve Trustworthy Data in a Large Healthcare System

Marteau, B. L., Hornback, A., Tan, S. Q. Y., Lowson, C., Woloff, J., & Wang, M. D. IEEE International Conference on Biomedical and Health Informatics (BHI)
FHIR in Focus: Enabling Biomedical Data Harmonization for Intelligent Healthcare Systems

Hornback, A., Marteau, B. L., Tan, S. Q. Y., Kim, K., Patil, O. R., Traynelis, J., Zhu, Y., Giuste, F., & Wang, M. D. IEEE Reviews in Biomedical Engineering
Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI

Nnamdi, M. C., Tamo, J. B., Marteau, B. L., Shi, W., & Wang, M. D. IEEE Transactions on Education
Data-Driven Symbolic Higher-Order Epistasis Discovery with Kolmogorov-Arnold Networks

Patil, O. R., Shazand, K., Marteau, B. L., Shen, Y., & Wang, M. D. bioRxiv (preprint)
MENDR: Manifold Explainable Neural Data Representations

Chen, M., Nnamdi, M. C., Shao, J., Hornback, A., Huang, H., Tamo, J. B., Zhong, Y., Marteau, B. L., Shi, W., & Wang, M. D. arXiv preprint
Anatomically-constrained Near-eye Gaze Tracking and Movement Classification using Transformer

Zhong, Y., Xu, J., Marteau, B. L., Tan, S. Q. Y., & Wang, M. D. IEEE International Conference on Healthcare Informatics (ICHI)
A Hybrid Deep Learning Framework for Automated Cobb Angle Estimation in Scoliosis Assessment

Tan, S. Q. Y., Wang, S., Wang, C.-P., Florea, A. C., Wang, I., Agoreyo, D. S., Speck, J. J., Nnamdi, M. C., Tamo, J. B., Marteau, B. L., Zhong, Y., Poon, S. C., & Wang, M. D. ACM International Conference on Bioinformatics, Computational Biology and Biomedicine
Augmenting Spline Interpolated Dementia EEG Data with Deep Learning for Improved Multi-Centric Data Harmonization

Chen, M., Marteau, B. L., Nnamdi, M. C., Tamo, J. B., & Wang, M. D. IEEE International Symposium on Biomedical Imaging (ISBI)
Synthetic H&E Generation from Highly Multiplexed Immunofluorescence Imaging using Deep-Learning

Patil, O. R.*, Marteau, B. L.*, Giuste, F. O., & Wang, M. D. IEEE International Symposium on Biomedical Imaging (ISBI)
Fourier-inspired Automatic Cobb Angles Measurement for Adolescent Idiopathic Scoliosis

Zhong, Y., Giuste, F. O., Shi, W., Tamo, J. B., Nnamdi, M. C., Marteau, B. L., Wang, K., Hwang, S. W., Poon, S., Iwinski, H. J., & Wang, M. D. Research Square (preprint)
Developing Semi-Automated Approaches for Generating Survivorship Care Plans for Pediatric Cancer Survivors

Hornback, A., Lewis, R. W., Liang, W. H., Muthu, N., Sathu, H., Zhu, Y., Marteau, B. L., Effinger, K. E., & Wang, M. D. IEEE International Conference on Biomedical and Health Informatics (BHI)

2024

Brain Digital Twin Combining Artificial Intelligence and Extended Reality

Marteau, B. L.*, Vashista, S.*, Chen, M., Geng, W., Hornback, A., Nnamdi, N. C., Tan, S. Q. Y., Zhong, Y., Okada, N., Acerbo, E., Dickey, A. S., Drane, D. L., & Wang, M. D. IEEE International Conference on Intelligent Reality (ICIR)
VR-RAISE: Virtual Reality for Reachability Assessment using an Interactive System Environment

Tan, S. Q. Y., Zhong, Y., Marteau, B. L., Hornback, A., Shi, W., Warshauer, S., Courter, R., Donahue, S., Lottiers, L., Russo, S., Robert, T. R., Ross, C., & Wang, M. D. IEEE International Conference on Intelligent Reality (ICIR)
Improving A Large Healthcare System Research Data Warehouse Using OHDSI's Data Quality Dashboard

Marteau, B. L., Hornback, A., Zhong, Y., Lowson, C., Woloff, J., Smith, B. M., Hilton, C., & Wang, M. D. IEEE International Conference on Biomedical and Health Informatics (BHI)
Confidence-Calibrated Clinical Decision Support System for Reliable Respiratory Disease Screening

Nnamdi, M. C., Tamo, J. B., Shi, W., Chundru, V., Marteau, B. L., Patil, O. R., & Wang, M. D. IEEE International Conference on Biomedical and Health Informatics (BHI)
Interpretable Survival Risk Prediction for High-Grade Glioma Patients via Radiomic Features from Peritumoral Region

Dhamdhere, R., Bharadwaj, S., Aggarwal, A., Mutha, P., Shi, W., Marteau, B. L., Madabhushi, A., & Wang, M. D. IEEE Engineering in Medicine and Biology Society (EMBC)

2023

Personalized COVID-19 Early Detection Using Wearable Data Based on Self-Reported Records

Ding, C., Lin, D., Lei, Z., Myers, J., Shi, W., Marteau, B. L., & Wang, M. D. IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Rare Heart Transplant Rejection Classification Using Diffusion-Based Synthetic Image Augmentation

Bao, H., Deng, J., Xing, S., Zhong, Y., Shi, W., Marteau, B. L., Das, B., Shehata, B., Deshpande, S., & Wang, M. D. IEEE International Conference on Biomedical and Health Informatics (BHI)
Choice Over Effort: Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics

Shi, W.*, Marteau, B. L.*, Giuste, F. O., & Wang, M. D. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics

Shi, W., Marteau, B. L., & Wang, M. D. Deep Generative Models for Health Workshop NeurIPS
Model Confidence Calibration for Reliable COVID-19 Early Screening via Audio Signal Analysis

Nnamdi, M. C., Tamo, J. B., Stackpole, S., Shi, W., Marteau, B. L., & Wang, M. D. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
Spatial Subcellular Organelle Networks in Single Cells

Venkatesan, M., Zhang, N., Marteau, B. L., Yajima, Y., De Zarate Garcia, N. O., Fang, Z., Hu, T., Cai, S., Ford, A., Olszewski, H., Borst, A., & Coskun, A. F. Scientific Reports
Explainable Synthetic Image Generation to Improve Risk Assessment of Rare Pediatric Heart Transplant Rejection

Giuste, F. O., Sequeira, R., Keerthipati, V., Lais, P., Mirzazadeh, A., Mohseni, A., Zhu, Y., Shi, W., Marteau, B. L., Zhong, Y., Li, T., Das, B., Shehata, B., Deshpande, S., & Wang M. D. Journal of Biomedical Informatics

2022

Accelerating Multi-site Health Informatics with Streamlined Data Infrastructure using OMOP-on-FHIR

Marteau, B. L., Zhu, Y., Giuste, F. O., Shi, W., Carpenter, A., Hilton, C., & Wang, M. D. IEEE Engineering in Medicine & Biology Society (EMBC)
IDTVR: A Novel Cloud Framework for an Interactive Digital Twin in Virtual Reality

Zhong, Y.*, Marteau, B. L.*, Hornback, A., Zhu, Y., Shi, W., Giuste, F. O., Krzak, J. J., Graf, A., Chafetz, R., & Wang, M. D. IEEE International Conference on Intelligent Reality (ICIR) - Best Paper Award
Development of Machine Learning Regression Model for COVID-19 Drug Target Prediction

Zamitalo, A., Xie, Q., Allam, M., Philip, P., Shi, W., Giuste, F. O., Marteau, B. L., Murakoso, M., & Wang, M. D. IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Identification of COVID-19 Severity and Associated Genetic Biomarkers based on scRNA-SEQ Data

Goel, A., Mudge, Z., Bi, S., Brenner, C., Huffman, N., Giuste, F. O., Marteau, B. L., Shi, W., & Wang, M. D. ACM International Conference on Bioinformatics, Computational Biology and Health Informatics