Responsibilities include:

• Building machine learning algorithms for automatic extraction of clinical information from rare diseases patients’ electronic health records.

• Conducting epidemiological studies on rare disease patients

• Developing tools to anonymize nominative patient data and building a widely accessible desindentified research rare disease registry usable by all researchers.

Responsibilities include:

• Analyzed Magnetic Resonance Imaging (MRI) data using statistics, machine learning, and deep learning to understand the effects of brain lesions on brain function.

• Planned and performed the statistical analysis for multiple published research projects.

• Created a web platform to analyze MRI data enabling the medical doctors and researchers to use state of the art quantitative methods.

• Maintained and developed the lab computational infrastructures using sys admin and programming tools.

Responsibilities include:

• Assisted research work on identifying the neurological basis of autism using MRIs data using statistics and machine learning.

• Created data preprocessing pipelines to build normative datasets from publicly available data using the computational radiology lab infrastructures.

• Built Dockers and singularity containers to deploy lab software solutions on BCH, Harvard Medical School, and Harvard Faculty of Art and Science high-performance clusters.

Responsibilities include:

• Created an R data package on different cancers’ risks and incidences using data from published literature on patients with genetic risks.

• Developed a web-based interface using R shiny and a search engine to navigate the database.

• Contributed to an exhaustive literature review of lifetime risk of genetic inheritance to cancer.