Welcome to the Deep Target NLP Lab. We work with machine learning, deep learning, large language models, and much domain expertise for our research projects. We work on a variety of different projects, ranging from transparent machine-learning approaches for diagnosing mental health conditions, text and audio simplification and optimization for communication in healthcare, human-machine collaboration with machine learning and AI, and addressing obstacles resulting from low resource or expansive data set needs.

Our work has been funded by the National Library of Medicine, the National Institute of Mental Health (NIMH), the National Science Foundation (NSF), the Agency for Healthcare Research and Quality (AHRQ), Microsoft Research, Bio5, and several foundations.

Arizona Science 10/31/25, NPR Interview, October 2025

Active Projects:

• John Galgiani (P.I.), Fariba Donovan (Co-I), Gondy Leroy (Co-I), Fangwu Wei (ASU PI) Improving prediction and recognition of Arizona Valley Fever, $750K, 2025-2028.
• Gondy Leroy (PI), Health Information Technology to Support Autism Spectrum Disorders (ASD) Risk Assessment for Early Diagnosis, $1.55M, 2021-2026, NIMH, (R01MH124935)
• Gondy Leroy (PI), Audio Generation and Optimization from Existing Resources for Patient Education, $1.4M, NLM/NIH, 2021-2026 (R01LM011975)
• Sydney Rice (PI), Gondy Leroy (Co-I), Nell Maltman (Co-I), Interdisciplinary Approach to Diagnosing Children with Autism, PANDAS – People Acting Now Discover Answers, 2025, 120K
• Nell Maltman (PI), Gondy Leroy (Co-I), Jonathan Kevan (Co-I), Collaborating with law enforcement to support interactions with autistic individuals, $20,424, 10/1/2024-9/30/2025.