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Brain Scans

The Fetal-Neonatal Neuroimaging Developmental Science Center Student Internship Program at Boston Children's Hospital is administered by the Division of Newborn Medicine at Boston Children's Hospital. We aim to advance the fields of Magnetic Resonance Imaging (MRI), Magnetoencephalography (MEG),  and Near-infrared Spectroscopy (NIRS),  while providing novel analytics and infrastructure in the Advanced Computing Group (ACG).


Interning with the FNNDSC provides undergraduate and medical school students with experience in the development and optimization of tools and analysis streams for better detecting and understanding both normal and abnormal brain physiology and development under the guidance of Faculty and Fellow mentors. Some of the many topics within Fetal Neonatal Research our faculty mentors focus on include research and clinical computation, nutrition, radiology, and more. Students who enroll in the Program will be appropriately matched with mentors based on their expressed research interests.

We hope that you will have the best experience possible through your internship by managing your time efficiently across multiple research teams in FNNDSC, shadowing medical doctors, and attending seminars. We are excited to hear about your experiences with a presentation that you are required to give at the end of your internship. 


Each student should plan to dedicate a minimum of 8 consecutive weeks with a 30- to 40-hour commitment per week. Scheduling conflicts may be worked out with mentors on an individual basis.


In addition to the highly competitive and unique program that students experience, the FNNDSC may offer a limited stipend to help offset the living expenses of Boston. Stipend levels are determined based on the student's academic level and amount of outside funding. Both Medical and Undergraduate students are also encouraged to apply for their own funding through their academic institutions.

Contact Our Labs 

Blue Water

Fan-Yu Yen 

Graduate Student Intern

Biomedical Engineering from National Cheng Kung University

It’s really a great opportunity to work with such fantastic people in FNNDSC. During my internship, I was able to get involved in many different kinds of innovative projects and learned a lot from them. The major project that I’ve been working on is the data analysis of the autoregulation data, which is to develop a new device and methods for monitoring the patient with neurological disorders during their surgery. I learned a lot in this project, not only the autoregulation signal processing, but also the hardware circuit design and printed circuit board (PCB) layout. There are also some other fascinating projects I did, such as the photoacoustic simulation and phantom making and testing, and optical coherence tomography (OCT) parts assembly and function testing. All of them are the most advanced research techniques applying in different fields. I’m really grateful for Dr. Ivy Lin and Dr. Jason Sutin gave me this opportunity to learn at FNNDSC!


Roberto Billardello

Graduate Student Intern

Biomedical Engineering at University Campus Bio-Medico of Rome

My internship here at FNNDSC has been really amazing, and I am so glad that I decided to come here.

I think that almost everyone, when leaving its own country, has some concerns on what there will be next.

I had some worries too, of course. But they did not last long, because I have been in good company.

I learned so much in this period here, and I really can not thank Dr. Tamilia enough for what she taught me!

Diana Pereira.jpg

Diana Pereira 

Graduate Student Intern

Medical Student at University of São Paulo

Working under Dr. Ou’s supervision was enriching. In Brazil, I was a medical student with very little previous experience with coding, and yet I ended up working with two incredibly talented computer scientists. Still, Dr. Ou trusted in me and always treated our difference in background as an advantage. He made sure that I understood the theory of what we were working with and explained complex concepts from our research in an incredibly clear manner. Whenever I needed it, he or Dr. He would help me with patience and understanding. If it wasn’t for this internship, I would never have come in such direct contact with the world of big data and machine learning. I am grateful to the center for the opportunity of working alongside brilliant researchers and for broadening my horizons beyond my experience as a medical student.

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