Mohammad S.
Materials Physicist, Machine Learning/Deep Learning Practitioner
I am a theoretical and computational materials physicist with over a decade research experience in electronic and magnetic structure of mono-bilayer graphene, and in nature of metal-insulator transition in various materials such as lanthanum manganite. I am experienced in using density-functional based package WIEN2k for electronic and magnetic structure of various crystals. For these researches, I have extensively used FORTRAN 90 and Wolfram Mathematica programming, and published several highly-cited publications as well as written a well-scored European-wide Marie Curie Fellowship Proposal. In biomedical research, I am experienced applying Python- and MATLAB-based predictive machine learning models to clinical data particularly those extracted from magnetic resonance images to detect implant-induced tissue necrosis. I have also applied deep convolutional neural networks to MRI data to extract magnetic susceptibility map of the brain images to detect bleeding and calcification. In my last position as a physicist at a asteroid-mining startup company, I extensively used scientific Python programming to solve physics-based models of materials refining and extraction leveraging electromagnetics, thermodynamics, statistical mechanics, and acoustics. In particular, I leveraged thermophysical data of materials and their phase diagrams at various pressures and temperatures particularly the software package FactSage to devise methods on how to separate platinum-group metals from asteroid materials. For the feasibility test of the ideas, I have prepared iron-platinum binary-alloy samples with induction and vacuum arc melters and run experiments with an X-ray fluorescence analyzer, liquid nitrogen and dry ice, and high-power fiber lasers. During this time, I have also worked closely with two undergraduate interns one of whom helped me to design and build an electromagnetic separator prototype. As the principal investigator, I also submitted a Small Business Innovation Research (SBIR) proposal to the National Science Foundation, which was recently funded. Finally, I have a solid background in university physics and math teaching at top institutions such University of Wisconsin-Madison.
Earnings and projects
An estimate from an earlier read
Earnings, last 30 days
No data since Nov 5, 2026.