Associate Computational Scientist
Icahn School of Medicine at Mount Sinai
Mujahid Ali Quidwai is an Associate Computational Scientist at the Icahn School of Medicine at Mount Sinai, New York. With a profound expertise in computational biology, Mujahid leads efforts at Laganalab to develop pioneering large language models for multiple myeloma, aiming to enhance predictive diagnostics and treatment strategies through precision medicine. His work includes the design and implementation of comprehensive patient management frameworks and contributing to advanced research in machine learning and data engineering.
Prior to his current role, Mujahid enriched his experience in the field as a Machine Learning Researcher at New York University, where he spearheaded projects in computer vision and natural language processing. His published research includes innovative methodologies in AI-generated plagiarism detection and deep fake detection, which have set benchmarks in the field. He also founded "AYA," a startup utilizing reinforcement learning-optimized NLP models, during his tenure at NYU.
Mujahid holds a Master of Science in Computer Engineering from New York University’s Tandon School of Engineering, where he specialized in adversarial machine learning and computational semantics, among other advanced topics. He earned his Bachelor of Science and Technology in Computer Science.