Sep. 25, 2026
Xiaolei Huang
Dr. Xiaolei Huang is an associate professor in the David L. Payne Department of Electrical Engineering and Computer Science at the University of Missouri. He received his PhD from the University of Colorado Boulder. Before joining Mizzou, he was an assistant professor of computer science and co-director of the Center for Emerging Technologies in AI at the University of Memphis. His research develops trustworthy, robust and data-efficient AI and natural language processing (NLP) methods. His work addresses fundamental challenges in data imbalance, temporal shift and causal robustness in large language models and multimodal AI, with applications in healthcare, precision…
Aug. 24, 2026
Sara Kasukurthy
Aug. 24, 2026
Yaswitha Jampani
Aug. 20, 2026
Levi Dial
Levi Dial is a PhD student specializing in geospatial data fusion, spatial analysis, machine learning, and deep learning across domains. He has applied these methods to projects in public health, journalism, finance, and agriculture. His current research focuses on improving the spatial and statistical representation of location-based public health data, both to increase the accuracy and quality of the data itself and to better capture complex relationships between locations in machine learning and deep learning models.
Aug. 20, 2026
Vishwa Bhayani
Vishwa Bhayani is an Informatics and Data Analyst at the Missouri Cancer Registry, a part-time PhD student in Health Informatics, and a Certified Oncology Data Specialist (ODS). With more than 10 years of healthcare experience, she specializes in healthcare analytics, cancer surveillance, health information management, and data-driven decision-making. Her interests lie in leveraging artificial intelligence, automation, and advanced analytics to improve healthcare operations, data quality, public health outcomes, and patient care.
Aug. 20, 2026
Ruth Otu
Ruth is a PhD student in the MU Institute for Data Science and Informatics with an emphasis in Health Informatics. Her research focuses on the responsible application of artificial intelligence and machine learning, including natural language processing, to improve healthcare delivery and outcomes, particularly for rural and underserved populations. She holds dual master’s degrees in Health Administration and Biomedical Informatics, Biostatistics and Medical Epidemiology from the University of Missouri and has a clinical background in dentistry. Her work spans rural telehealth, clinical AI, healthcare analytics, and healthcare operations, including using NLP to understand implementation barriers in telehealth programs and…
Aug. 20, 2026
Arpita Howlader
I am a PhD student in Informatics at the University of Missouri–Columbia, where I serve as a Graduate Research Assistant at the MU Institute for Data Science and Informatics. With more than nine years of teaching experience at the undergraduate and graduate levels, I am currently on study leave from my role as Assistant Professor of Computer Science and Engineering. My research interests include artificial intelligence and machine learning for healthcare and data visualization, quantum computing, biomedical informatics, and drug repositioning to develop intelligent and context-aware healthcare solutions.
Feb. 17, 2026
Tanu Malik
Tanu Malik is an associate professor in the Department of Electrical Engineering and Computer Science at the University of Missouri. Her research focuses on big data management, accountable and reproducible distributed and parallel systems and trustworthy AI. At Mizzou, she leads the RADIANT Lab, supported by funding from the National Science Foundation, the National Aeronautics and Space Administration, the Department of Energy and the Bloomberg Foundation. Her lab has pioneered innovative solutions in reproducible and accountable systems for trustworthy AI, benefiting scientists across multiple domains. Malik is a recipient of the NSF CAREER Award and a DoE Better Scientific…
Sep. 5, 2025
Temitope Eyinla
Temitope Eyinla is a PhD student in the MU Institute for Data Science and Informatics with an emphasis in health informatics. He plans to explore causal inference methods, particularly target trial emulation, and their applications to epidemiology and biomedical data, with a focus on chronic disease management and public health challenges such as cancer screening. Temitope holds a Bachelor’s in Mathematics from Adekunle Ajasin University, Nigeria, and an MSc. in Applied and Computational Mathematics and Statistics from the University of Notre Dame, USA. He brings over six years of experience in Data Analytics, with two years in the healthcare…