Avi is passionate about data, computers, biology, body defenses, and numbers, especially enjoying uncovering patterns and working closely with students.
Kushal earned his PhD from the Illinois Institute of Technology , specializing in the application of Computer Vision and Machine Learning for Ultrasonic Non-Destructive Testing (NDT).
David earned his degree from the UNM School of Engineering, specializing in DNA Nanotechnology and Molecular computing
Macaulay is a Graduate Student of Biochemistry with background in life sciences and computer programming
My name is Hu Yue. I graduated from Lanzhou University in China with a bachelor's degree in Computer Science and Technology. I am currently pursuing my PhD at the University of New Mexico, with a focus on deep learning and neural networks.
Michael holds Master’s degrees in Computer Science (2024) and Nursing (1997) from the University of New Mexico. As a Family Nurse Practitioner with a background in primary care, he brings a distinctive healthcare perspective to his work in computer science.
Mikaela is a Biomedical Engineering PhD student with a background in chemistry. Her research goals are to utilize Machine Learning to address pressing healthcare challenges.
Oluoma Edeh (Oma) is an MD/PhD student at UNM working in the Tumor AI Lab. Her research centers on complex medical dermatology and the use of computational tools to study diverse skin diseases.
Shrey is first year student studying pure math and computer science. He enjoys learning about a wide variety of topics and is excited to explore the intersection between computation and oncology.
Learn more about Shrey
Mimi is a graduate student in Applied Mathematics with training in Numerical methods, Statistics and Machine Learning. She is deeply motivated by the power of mathematics to drive scientific discovery. Her research centers on applying mathematical modeling and neural network methodologies to computational oncology.
Sowmya is a high school student at Albuquerque Academy. Her research focuses on developing agentic workflows for cancer identification and diagnosis.