Amir Ghasemian
Research Scientist at UCLA
New Haven, Connecticut, United States
Summary
👤
Senior🎓
Top SchoolAmir Ghasemian is a research scientist with eight years of experience focused on inference and learning in graphical models, blending perspectives from Bayesian statistics, free energy methods in statistical physics, and information theory. He has held research positions at UCLA, University of Pennsylvania, Yale, Temple, and Harvard, and earned a Ph.D. in Computer Science from the University of Colorado Boulder. His work spans machine learning, data mining, signal processing, and statistical inference, often approaching classical inference problems through interdisciplinary lenses. At the Computational Social Science Lab he applies these methods to social data, translating theoretical ideas into empirical insights. Colleagues note his ability to traverse theory and applied research, leveraging deep statistical foundations to address practical modeling challenges. Based in New Haven, he maintains collaborations across top institutions while continuing to push inference methods in novel directions.
8 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.) Electrical Electronics and Communications Engineering, Master of Science (M.Sc.) Electrical Electronics and Communications Engineering at University of TehranDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Colorado Boulder
English
Github Skills (4)
arxiv10
community-detection10
machine-learning6
deep-learning5
Github contributions (5)
Aghasemian/CommunityFitNet
Nov 2017 - Sep 2019
This page is a companion for our paper on overfitting and underfitting of community detection methods on real networks, written by Amir Ghasemian, Homa Hosseinmardi, and Aaron Clauset. (arXiv:1802.10582)
Contributions:36 commits, 20 pushes, 8 comments in 1 year 10 months
arxivaaronamirclausetdeep-learning
Aghasemian/OptimalLinkPrediction
Sep 2019 - Mar 2020
Contributions:72 commits, 10 pushes, 4 comments in 6 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.