Hello!
I’m a final year PhD candidate in the Penn Image Computing and Science (PICSL) at the University of Pennsylvania under the supervision of Prof. Paul Yushkevich. I completed my MSc. in computer science in the Shape Analysis Group at McGill University. I was supervised by Prof. Kaleem Siddiqi and Prof. Louis Collins at the Montreal Neurological Institute. My MSc. thesis was on “Spine Segmentation in Computed Tomography Images using Geometric Flows and Shape Priors”. See here or here.
My primary research focus is to develop computational methods to analyze ultra high resolution postmortem human brain at 7 tesla MRI and link morphometry with histopathology in Alzheimer’s and related dementias. You can find my latest body of work here. See my complete publications at Google Scholar profile.
In the past, I’ve interned at:
- Google [Mountain View, United States]
- Amazon [Palo Alto, United States]
- Imagia Inc. [Montreal, Canada]
- Planet Labs [San Francisco, United States]
- Centre for Advanced Imaging, University of Queensland [Brisbane, Australia]
- Imaging, Multimedia and Graphics Lab, University of Saskatchewan[Saskatoon, Canada]
Every Fall, I lecture on medical image segmentation with deep learning in the graduate course on biomedical image analysis (BE/CIS 537) at the University of Pennsylvania. You can view the recordings here.
I also maintain a blog and contribute to open source projects such as this and have appeared as a guest on the “Abstract: The Future of Science” podcast.
In my spare time, I read poetry, fiction and non-fiction, listen to science podcasts, nerd out on coffee, enjoy independent movies music and I’m constantly searching for the next best cafe! Oh, and I love oxford comma! I believe in Slow Science.