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Brain Imaging Data Scientist Resume

SKILL:

  • Linux/Unix, OSX
  • R, Python, Matlab, C, Git
  • Machine Learning
  • Scikit - learn
  • Tensorflow
  • Signal Processing
  • Amazon AWS
  • Google Cloud, Microsoft Azure
  • Apache Spark
  • Docker
  • Hadoop
  • Rapid prototype
  • Solidworks, 3D Printing
  • English / Chinese

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.

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