News & highlights
Research, publications, teaching, and professional milestones.
Entries are dated when announced; publication updates are listed separately.
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2026
Research support. NAIRR Compute Support as Principal Investigator, with an allocation on Argonne’s Cerebras CS-3 system. Details →
New publication. “A Multimodal Artificial Intelligence Reasoning Framework for Burn Diagnosis” published in Military Medicine. Paper ↗
Research service. Recognized as a Gold Reviewer at ICML 2026. Recognition →
“A Multimodal Artificial Intelligence Reasoning Framework for Burn Diagnosis” accepted in Military Medicine.
Paper acceptance. AMBUSH-AI, our work on automated non-invasive burn diagnosis, accepted at Annals of Surgery. Publication details →
“An AI Copilot for First Response Medicine” accepted in Military Medicine.
2025
NAIRR Compute Support: $25K in OpenAI credits and 50K GH200 GPU hours. Role: Lead Member.
Announced panel service for the NSF Translation to Practice program in January–February 2026.
Attended NeurIPS 2025 in San Diego, California.
Gave an invited lecture at the University of Texas at El Paso on AI for High-Stakes Environments (Healthcare), for Artificial Intelligence for Scientific Discovery.
Featured in Purdue Postdoc Achievements. Purdue feature ↗
Paper acceptance. AURA accepted for an oral presentation at IAAI 2026. Research and paper →
Reviewer Panelist for the NAIRR Pilot, with service announced for October–December 2025.
Announced research presentations at NeurIPS 2025 workshops: ARLET, Multimodal Algorithmic Reasoning, GenAI4Health, and Embodied World Models for Decision Making.
Purdue featured our MIUA 2025 award-winning work on burn diagnosis. Purdue feature ↗
NSF Robust Intelligence support for “EAGER: Theoretical Foundations for Integrating Foundational Models into Reinforcement Learning.” Role: Key Personnel; PI: Juan P. Wachs. Award #2521982 ↗
Best Paper Award. Recognized at MIUA 2025 for work on knowledge-driven burn diagnosis with vision-language models. Purdue feature ↗
Attending MIUA 2025 at the University of Leeds, UK.
“AI-Driven Integrated System for Burn Depth Prediction With Electronic Medical Records: Algorithm Development and Validation” accepted in JMIR Medical Informatics.
Health of the Forces Pilot Funding Program support for “Accelerated Expertise: AI-Powered Diagnostic Pathways for Rapid Clinical Mastery of Burns.” Role: Team Lead.
Abstract accepted for presentation at Plastic Surgery The Meeting 2025.
“A Chain-of-Thought AI Reasoning Framework for Burn Diagnosis” accepted as a conference abstract at MHSRS 2025.
“Knowledge-Driven Hypothesis Generation for Burn Diagnosis from Ultrasound with Vision-Language Model” accepted at MIUA 2025.
“A Framework for Advancing Burn Assessment With Artificial Intelligence” accepted in Military Medicine.
2024
Completed NSF I-Corps Hub: Great Lakes Region. Digital badge ↗
Started as a Postdoctoral Researcher in Purdue’s Edwardson School of Industrial Engineering.
Defended my Ph.D. thesis at Purdue University.
Announced a presentation on AI for burn care at MHSRS 2024 in August in Kissimmee, Florida.
Announced a lightning talk on AI in burn surgery for ADSA 2024, scheduled for October at the University of Michigan.
Announced a tutorial on reinforcement-learning benchmarking for ADSA 2024, scheduled for October at the University of Michigan.
Organizer and Chair of the NAACL 2024 Birds of a Feather session on Vision-Language Models in Medical Surgery.
Announced a lightning talk on vision-language models in deep reinforcement learning at MMLS 2024.