Soheila Samiee
Principal Applied Research Scientist at BASF
Canada
Summary
👤
Senior🎓
Top SchoolSoheila Samiee is a Principal Applied Research Scientist at BASF with a decade-plus track record applying deep learning and NLP to real-world problems across chemistry, biology and industry. She leads cross-functional teams and university collaborations to translate business needs into production-ready AI solutions, from customer churn and incident prevention to Retrieval-Augmented Generation tailored for chemistry. Her research spans pre-training and domain adaptation of language models, LLM-driven reasoning on semi-structured data, and protein language models for enzyme engineering and remote homology. A former Mila postdoc, she blends brain-inspired transformer research and time-series expertise with hands-on engineering—evidenced by a substantive contribution adding dynamic PAC analysis to the well-used Brainstorm neuroimaging toolkit. Equally comfortable presenting to corporate and academic audiences, she pairs product ownership (OKRs, Scrum/Kanban) with publication-grade research and patent-oriented innovation. Based in Canada, she thrives at the intersection of rigorous science and pragmatic AI deployment.
8 years of coding experience
10 years of employment as a software developer
M.Sc. Biomedical Engineering, M.Sc. Biomedical Engineering at Sharif University of TechnologyDoctor of Philosophy (PhD) Computational Neuroscience, Doctor of Philosophy (PhD) Computational Neuroscience at McGill University
English, Persian, French
Github Skills (5)
megaparsec10
electrophysiology10
matlab10
scientific-computing9
signal-processing9
Programming languages (3)
Github contributions (5)
brainstorm-tools/brainstorm3
Aug 2017 - Dec 2020
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
Role in this project:
Back-end Developer
Back-end DeveloperContributions:30 commits, 22 PRs, 7 comments in 3 years 4 months
Contributions summary:Soheila implemented a new feature for time-resolved Phase-Amplitude Coupling (PAC) analysis within the Brainstorm software, which involves processing MEG, EEG, and other electrophysiology data. The code changes included the addition of a new `process_pac_dynamic.m` file with significant code, indicating a substantial contribution to the PAC analysis functionality. The user's work provides enhancements to the software's capabilities in analyzing neural data.
pythonmatlabseegcomputational-neurosciencefnirs
SoheilaSamiee/brainstorm3
Aug 2017 - Dec 2020
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
Contributions:31 pushes, 2 branches in 3 years 4 months
pythonseegfnirsecogbrainstorm
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