Faculty
Khalid Niazi, PhD
Associate Professor
Email: Khalid.Niazi@osumc.edu
Pelotonia Research Center
Office # 2043
2255 Kenny Rd
Columbus, OH 43210
Dr. Niazi is a dedicated researcher and educator who currently serves as an Associate Professor of Pathology at The Ohio State University (OSU). He is the Principal Investigator (PI) of the Computational Pathology Lab, where he leads innovative research at the intersection of artificial intelligence (AI) and medicine. Dr. Niazi’s expertise lies in leveraging AI to address complex challenges in pathology and related medical fields, including oncology, urology, nephrology, and radiology. His work focuses on developing customized AI-driven solutions to advance both clinical and research applications.
In addition to his role in the Department of Pathology, Dr. Niazi is affiliated with the OSU Comprehensive Cancer Center, a leading institution dedicated to cancer research and treatment. He is also actively involved with the Graduate School in Biomedical Engineering and the Biomedical Sciences Graduate Program, where he mentors graduate students pursuing advanced degrees. Students interested in joining his team will be admitted through one of these programs to work under his guidance and contribute to cutting-edge research in computational pathology and AI.
Prior to joining OSU, Dr. Niazi was associated with the Center for Artificial Intelligence Research at Wake Forest University School of Medicine, where he further honed his skills in applying AI to medical challenges. His extensive experience and interdisciplinary approach make him a valuable resource for collaborative projects.
He is deeply committed to exploring the potential of AI to address pressing challenges in healthcare and welcomes opportunities to collaborate with clinicians, researchers, and students. If you are interested in integrating AI into your clinical practice or research, or if you would like to learn more about our work, please feel free to reach out. He looks forward to connecting with you and exploring how we can collaborate to advance the field of medicine through innovative AI-driven solutions.
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