My name is Daniela de Albuquerque and I am a MD-PhD trainee at Duke University, currently pursuing my PhD in Electrical and Computer Engineering (ECE) at John Pearson’s lab. I am broadly interested in deep generative models (e.g., Variational Auto-Encoders, Diffusions, Flow Matching) and in developing new models tailored towards addressing specific needs/problems in neuroscience and biomedical research. To learn a bit more about my other projects, please visit my personal website.
On the medicine front, I am interested in pursuing Radiology as my future specialty and in applying my PhD training towards developing new models capable of facilitating clinical diagnosis and treatment of psychiatric, neurological, and neurodevelopmental diseases using biomedical imaging data (e.g., brain CT, MRI, fMRI). I am also a proud Brazilian, and love surfing, traveling, and (above all) cats!
Finally, I’ve been fortunate to be supported throughout my training by both the Ruth L. Kirschstein Pre-Doctoral National Research Servive Award (NIMH F30MH129086) and by Duke’s T32 (MSTP) grant.