Summary
Anmol Monga is an Assistant Research Scientist based in the New York City area with 14 years of technical experience and over eight years focused on machine learning and data-driven healthcare research. At NYU Langone he applies ML and data analysis to predict fractures and osteoporosis, translating clinical data into actionable risk models. His background spans computer vision and signal processing—implementing Extended Kalman Filters, dense correspondence methods, and wave kernel signatures in C++/OpenCV during industry internships. He also has academic experience in game-theoretic cybersecurity and networked control systems from his work at NYU, reflecting a blend of theoretical rigor and practical engineering. Comfortable moving between research and production code, he brings cross-domain expertise from medical imaging to embedded vision for transportation systems.
14 years of coding experience
1 year of employment as a software developer
Master of Science (M.S.), Electrical Engineering, 3.67/4.0, Master of Science (M.S.), Electrical Engineering, 3.67/4.0 at New York University
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, 6.75/10, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, 6.75/10 at Punjab Engineering College
English, Hindi