Arif Rahman

Arif Rahman is a computational mathematics and computer science student currently pursuing his Bachelor's of Science at the University of California, Los Angeles. He previously earned an Associate of Arts in Mathematics and Computer Science with a 4.0 GPA from Riverside City College. Arif is deeply invested in applying advanced machine learning techniques to solve complex biological and medical challenges. His recent research experience spans developing hybrid forecasting frameworks for computational epidemiology and building highly accurate diagnostic models for cancer detection.

Importantly, Arif has worked on reverse-engineering deep learning decision logic in genomics to verify biological signals, work that directly aligns with the BRITE Institute’s mission to create safe, transparent, and trustworthy AI for healthcare. Alongside his academic research, he brings applied industry experience from his role as a Software Engineer Intern at Saco Automotive, where he optimized on-device machine learning models for real-time inference.

‍