Nasim Anousheh - Lecturer at Indiana University Bloomington

Nasim Anousheh

Lecturer at Indiana University Bloomington

Bloomington, Indiana, United States

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Summary

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Senior

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Top School

Nasim Anousheh is a Lecturer and Assistant Research Scientist in Intelligent Systems Engineering at Indiana University Bloomington with eight years of experience bridging data science, machine learning, and scientific research. She teaches hands-on, application-focused courses, designs instructional materials, and mentors students and TAs while maintaining an active research role in medical imaging and computational methods. Her open-source contributions to prominent scientific visualization and medical imaging libraries—DIPY and FURY—highlight practical expertise in numerical methods, testing, and 3D visualization workflows. Trained as a physical chemist (PhD), she brings a rigorous experimental mindset to algorithm development and debugging, notable for improving edge-case robustness in vector-to-rotation computations. Based in Bloomington, she combines academic teaching, research, and community-focused tooling to make complex imaging techniques accessible and reliable.

8 years of coding experience

Master of Science (M.Sc.), Physical Chemistry, Master of Science (M.Sc.), Physical Chemistry at Alzahra University

Doctor of Philosophy (Ph.D.), Physical Chemistry, Doctor of Philosophy (Ph.D.), Physical Chemistry at Université de Sherbrooke

English, French, Persian

Github Skills (17)

visualization10

3d-graphics10

python10

testing10

numpy10

diffusion-mri10

medical-imaging10

scientific-visualization10

visualizations10

game-engine9

denoising8

tractography8

registrar7

machine-learning7

neuroimaging7

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

fury-gl/fury

Jan 2020 - Aug 2020

FURY - Free Unified Rendering in pYthon.

Role in this project:

Full-stack Developer

Contributions:17 reviews, 21 commits, 6 PRs in 6 months

Contributions summary:Nasim primarily contributed to the development of a tutorial demonstrating the creation of 3D visualizations, specifically focusing on particle collisions and sphere rendering. The user implemented and refined example code, addressing boundary conditions and color adjustments, and enhanced documentation. The commits showcase the use of Python libraries for 3D graphics and interactive visualizations within the context of a scientific visualization project.

pythonshadersfurysimulationrendering

dipy/dipy

Apr 2021 - Jul 2021

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

Role in this project:

Data Scientist

Contributions:1 review, 33 commits, 3 PRs in 3 months

Contributions summary:Nasim primarily contributed to debugging and improving the `vec2vec_rotmat` function within the `dipy/core` geometry module by adding test cases to address edge cases where the dot product might exceed 1. They also refactored code in the `dipy/core` geometry module and corrected minor errors in documentation and examples. Their work demonstrates a focus on numerical methods and testing within a scientific computing context, likely related to the medical imaging domain.

signalpythonmicrostructurespatialtractography

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