Breast Image Computing Lab

Our People

Aimilia Gastounioti, PhD
Assistant Professor of Radiology
Kanika Bhalla, PhD
Postdoctoral Research Associate
Juanita Hernández López, PhD
Postdoctoral Research Associate

Graduate Students
Sneha Das Gupta (Imaging Sciences PhD)
Xiaobing (Dean) Yu (Imaging Sciences PhD)

Undergraduate Students
Krisha Anant
Jeffery Cui

Research Opportunities

We are currently actively looking for self-motivated students, postdoctoral researchers and medical trainees interested in computational breast imaging research and artificial intelligence.

Fully-funded PhD positions are available for candidates who are interested in computational imaging research and artificial intelligence, self-motivated and eager to make an impact in advancing breast cancer screening.

Qualifications:

  • Undergraduate or master’s degree in engineering, applied mathematics, computer Science, bioinformatics or related fields.
  • Strong analytical and programming skills (at least in Python)
  • Fluent in written/spoken English
  • Skilled at presenting research accomplishments
  • Previous knowledge of basic machine learning principles and image processing (e.g. from undergraduate courses, projects or work experience) is desirable, but not essential.

To Apply: Candidates must submit a graduate application form and are expected to meet the graduate admissions criteria. Informal inquiries are encouraged and can be addressed to Aimilia Gastounioti, PhD, providing the following:

  • A cover letter describing your research interests
  • A current CV, including GPA, ranking and transcripts if applicable
  • The name and contact information for 2-3 references who are familiar with your work

Candidates who are interested in computational imaging research and artificial intelligence, self-motivated and eager to make an impact in advancing breast cancer screening are encouraged to apply.

Qualifications:

  • A PhD in the fields of biomedical engineering, applied mathematics, computer science, electrical engineering, bioinformatics or related fields
  • A record of accomplishments in medical image analysis, artificial intelligence and/or informatics
  • Training in deep learning and proficiency in Python.
  • Fluent in written/spoken English
  • Skilled at presenting research accomplishments

To Apply: If interested, please email Aimilia Gastounioti, PhD the following:

  • A cover letter describing your research interests
  • A current CV
  • The name and contact information for 3 references who are familiar with your work
  • 2–3 representative publications

Short-term, fully-funded research internships are available for students and trainees who are looking to enrich their training and research experience. The research direction will be aligned with your research interests and the Breast Image Computing Lab projects. Please feel free to contact Dr. Aimilia Gastounioti with the following:

  • A cover letter describing your research interests
  • A current curriculum vitae
  • The name and contact information for 2-3 references who are familiar with your work

Job Opportunities

Visit the Opportunities page to find open positions at MIR.

To be considered for future openings in this lab, email your CV to Aimilia Gastounioti, PhD.

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