Osman Mamun
Scientist at Los Alamos National Laboratory
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolOsman Mamun is a materials data scientist with over eight years of experience applying predictive and generative machine learning to accelerate materials discovery and understand underlying mechanisms in alloys and catalysts. He has built high-throughput computational workflows and a Bayesian framework for adsorption energy prediction, authored 18 peer-reviewed papers, and presented at international conferences. His work spans rupture-time prediction using VAEs and reinforcement learning, microstructural feature generation from TEM images, and NLP for extracting scientific knowledge from literature. Having held postdoctoral positions at Stanford, PNNL and Cornell and now a scientist at Los Alamos, he blends rigorous first-principles modeling with scalable data engineering (Python, MATLAB, Spark) to turn complex experimental and computational datasets into actionable insights. A less obvious strength is his knack for hybridizing physics-based models with data-driven techniques to improve interpretability and extrapolation across vast alloy spaces.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Chemical Engineering, Bachelor's degree, Chemical Engineering at Bangladesh University of Engineering and TechnologyDoctor of Philosophy (PhD), Chemical Engineering, Doctor of Philosophy (PhD), Chemical Engineering at University of South CarolinaPostdoctoral Scholar, Chemical Engineering, Postdoctoral Scholar, Chemical Engineering at Stanford University
English, Bengali
Stackoverflow
2,874reputation
90kreached
163answers
14questions
python
top-5%
Github Skills (35)
combinatorics9
dft9
materials-informatics9
linear-regression9
python9
catalyst9
computational-chemistry9
throughput9
catalysis9
computational-materials-science8
bayesian8
chemistry8
machine-learning8
chemical-engineering8
quantum-mechanics8
Programming languages (4)
Github contributions (5)
jianglst/Bimetallic_Alloy_Codes
Apr 2019 - May 2019
A repository for all the codes used to generate the bimetallic alloy dataset and to implement delta learning method
Contributions:3 commits in 1 month
alloydeltamethoddataset
mamunm/BayesianFramework
Sep 2019 - Nov 2019
A framework for Bayesian model selection (BMS) and Bayesian model Averaging (BMA).
Contributions:1 review, 12 commits, 1 PR in 2 months
bayesianlinear-regressionbayesian-inferencemodel-selection
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