Brain Imaging Data Scientist Resume

SKILL:

PROFESSIONAL EXPERIENCE

Brain Imaging Data Scientist

Confidential

Responsibilities:

Created patient enrollment R Shiny dashboard to quantify patient enrollment and team performance metrics for NIH funded clinic.
Created automated pipelines in Shell, Python, Ansible to streamline MRI image acquisition, database storage, and analysis.
Applied random forest classifiers on graph theory metrics to predict non - invasive brain stimulation tDCS performance.

Postdoc Fellow, Department of Psychiatry

Confidential

Responsibilities:

Developed fMRI brain imaging protocols and tasks for veterans suffering from PTSD.
Collected and analyzed MRI/fMRI data (over 1000+ subjects, ~ 5 TB), genetic data (over 1000+ subjects, 2000+ SNPs) and eye-tracking data.
Published 15+ peer-reviewed scientific journal articles (bit.ly/seanpapers).
Presented at international, national and local meetings through 20+ invited talks/mini-symposiums/poster sessions.

Member, Faculty Advisor

Confidential

Responsibilities:

Assisted the city of Flint in collaboration with Google to provide lead level prediction at the 50,000+ individual parcel level.
Applied machine learning techniques, including XGBoost, Random Forest to predict parcels with water lead level above the Federal standard 15 ppb.
Applied machine learning techniques, including random forest classification, radiant boosting (xgboost) and deep learning networks (Mxnet & Theano), to create prediction models.
Disseminated prediction results and data visualization through Google’s mobile app for Flint residents.

Postdoctoral Researcher in Psychology

Confidential

Responsibilities:

Worked on individual differences in drug addiction, social bonding in animal model and its interaction with neurotransmitter, Dopamine.

Graduate Research Assistant

Confidential

Responsibilities:

Working on animal models for Parkinson's Disease (PD) with focus on voice deficits that PD patients suffer.