Rehma Yash Razzak advances trustworthy AI for healthcare decisions

Rehma Yash Razzak, a Kennesaw State University academic scheduling coordinator and machine learning researcher, is being recognized for work focused on trustworthy AI, healthcare analytics and human-centered technology. Her research spans Parkinson’s screening, mental health safety and multimodal AI as she pushes for systems that support — not replace — clinical judgment.

Why it matters: - Rehma Yash Razzak’s work targets a core problem in healthcare AI: how to make models reliable enough to support real decisions without undermining human judgment. - Her research focuses on AI safety, robustness and interpretability in high-stakes settings such as disease screening and mental health. - The effort matters for clinicians, patients and neurodivergent communities that depend on technology that is accurate, ethical and usable.

What happened: - Influential Women recognized Rehma Yash Razzak for her work in trustworthy AI, data analytics and digital health. - Rehma Yash Razzak serves as an Academic Scheduling Coordinator at Kennesaw State University and completed graduate study and research there. - She works as a machine learning researcher at the intersection of artificial intelligence, healthcare and human-centered technology. - Rehma Yash Razzak’s background includes computer science, machine learning robustness, multimodal AI, adversarial evaluation and trustworthy healthcare technology. - She entered the technology field in 2018 after building a foundation in computer science. - She earned a bachelor’s degree in Computer Science from Southern Polytechnic State University and a master’s degree in Computer Science from Kennesaw State University. - She also completed certificates in AI Fluency: Framework and Foundations and Claude 101 from Anthropic.

The details: - Rehma Yash Razzak has worked on reproducible data pipelines, machine learning solutions and analysis of biometric and behavioral data for research and clinical decision-making. - Her career has included work in digital health, virtual reality, human-computer interaction and clinical AI. - As a Graduate Research Assistant at Kennesaw State University, she led and supported projects on stress detection, attention assessment, Alzheimer’s disease, autism spectrum disorder, Parkinson’s disease screening and AI-driven mental health applications. - Her work led to publications, presentations and membership in Sigma Xi, the scientific research honor society. - She marked her first recognition as a graduate researcher in 2021 as a turning point in her career. - In 2026, she presented “Stress-Testing Parkinson’s Disease Screening: A Cross-Modal Robustness Analysis of Drawing and Speech Models” at the 17th International Conference on Information, Intelligence, Systems & Applications (IISA 2026). - That study examined how AI-based Parkinson’s screening models perform under real-world noise and adversarial conditions. - She also had a poster accepted for the Women in Machine Learning (WiML) Workshop alongside NeurIPS 2026. - The accepted work, “Emotion-Aware Risk Modeling and Safety Evaluation of a Support-Oriented Language Model for High-Risk Mental Health Text,” studies emotional sensitivity, risk assessment and response safety in language models. - Her specialties include machine learning, Python programming, data analysis and data quality. - Her approach emphasizes reliable pipelines and models that can be repeated and trusted.

Between the lines: - Rehma Yash Razzak’s research points to a broader tension in AI: capability is increasing faster than public trust. - Her focus on robustness and adversarial testing suggests a practical belief that weak models should fail in the lab, not in clinical use. - Her comments on influence frame leadership as quiet, collaborative and often invisible, which fits the mentorship role she describes across game design, app development and data science. - She also argues that young women should allow their goals to evolve as they change, rather than treating an early career plan as permanent. - Her view of AI in healthcare is clear: the goal is to strengthen human decisions, preserve agency and keep systems ethical and interpretable. - She says curiosity and joy matter because they keep people from becoming complacent in their work.

What's next: - Rehma Yash Razzak is expected to continue research in trustworthy AI, healthcare technology and human-centered machine learning. - Her ongoing work suggests more focus on systems that can handle noisy data, emotionally sensitive content and real-world clinical complexity. - She remains positioned to contribute through research, mentorship and technical work that supports inclusive technology design.

The bottom line: - Rehma Yash Razzak is building AI tools and research methods aimed at one goal: making technology dependable enough to help people make better decisions in healthcare, not replace them.

More information is available through her Influential Women profile.