Narges Razavian
Associate Professor
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNarges Razavian is an associate professor at NYU Langone and a researcher building machine learning and deep learning tools for healthcare with 11 years of experience bridging academia and clinical informatics. She leads healthAI development and implementation at NYU Medical School, applying temporal predictive modeling and probabilistic methods to real-world clinical data. Her background spans a PhD in Computer Science from Carnegie Mellon and hands-on research internships at Microsoft, giving her a rare combination of rigorous probabilistic modeling and practical ML engineering. She runs a group repository (NYUMedML) on GitHub and actively recruits engineers skilled in Python and deep learning to translate models into deployable clinical tools. Not obvious from titles: her early work in statistical machine translation and eQTL regression informs a cross-disciplinary approach that blends NLP, computational biology, and time-series modeling in healthcare applications.
11 years of coding experience
Master of Science Information Technology, Master of Science Information Technology at ECE Department, University of TehranPhD; School Computer Science, PhD; School Computer Science at Carnegie Mellon UniversityBachelor of Science Software Engineering Computer Engineering Department, Bachelor of Science Software Engineering Computer Engineering Department at Sharif University of Technology
Persian, English
Github Skills (12)
nlp-machine-learning9
open-datasets8
medical8
deep-learning6
open-source5
visualization4
gnn4
pytorch3
medical-imaging3
segmentation3
graph-neural-network2
artificial-intelligence2
Programming languages (3)
Github contributions (5)
narges-rzv/narges-rzv.github.io
Nov 2017 - Jul 2020
Contributions:2 PRs, 52 pushes, 1 branch in 2 years 8 months
clinicalml/deepDiagnosis
May 2016 - Aug 2016
A torch package for learning diagnosis models from temporal patient data.
Contributions:51 commits in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.