Fahimeh Mamashli
Associate Director Data Science, Data And Statistical Science AI ML
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolFahimeh Mamashli is an Associate Director of Data Science with eight years of industry and academic experience building AI/ML solutions across healthcare, imaging, genomics, and real-world data. She combines a PhD-level research background in neuroscience with hands-on production work—leading deep learning, transformer/LLM, and signal-processing projects at Pfizer, Takeda, and Daiichi Sankyo while holding a junior faculty role at Harvard Medical School. Her strengths span from distributed training and AWS SageMaker deployment to causal inference in physiological time series and multimodal feature engineering for MEG/MRI/EEG. Notably, she has fine-tuned generative models for RNA sequence generation and developed graph-attention architectures for molecular property prediction, bridging cutting-edge research with deployable clinical analytics. A clear communicator and mentor, she regularly supervises trainees and forges industry collaborations to translate complex biomedical data into actionable insights.
8 years of coding experience
3 years of employment as a software developer
Amirkabir University of TechnologyDoctor of Philosophy (PhD) Neuroscience (Biomedical), Doctor of Philosophy (PhD) Neuroscience (Biomedical) at Max Planck Institute for Human Cognitive and Brain Science
Github Skills (7)
neuroscience10
statistics10
visualization10
neuroimaging10
python9
machine-learning9
scripting1
Programming languages (2)
Github contributions (5)
FahimehMamashli/PeSCAR
Mar 2018 - Jan 2019
Contributions:8 commits in 10 months
fmamashli/mne-python
Sep 2019 - Oct 2019
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Contributions:17 pushes, 4 branches in 15 days
pythonelectroencephalographymneeegmagnetoencephalography
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