Alican Bozkurt

PhD Student

Northeastern University



I am a Ph.D. student under supervision of Jennifer Dy , Dana Brooks , and Jan-Willem van de Meent at Northeastern University. My main research interests are machine learning with emphasis on probabilistic programming, deep neural networks, and their applications in biomedical image processing. I am one of the developers of Probabilistic Torch , a library for deep generative models that extends PyTorch. I am also one of the maintainers of the Pytorch distributions module.


  • Probabilistic Programming
  • Deep Learning
  • Biomedical Image Processing


  • MSc in Image Processing, 2013

    Bilkent University

  • BSc in Electrical and Electronics Engineering, 2011

    Bilkent University

Recent Publications

Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)

In-vivo optical microscopy is advancing into routine clinical practice for non-invasively guiding diagnosis and treatment of cancer and …

Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy

In vivo reflectance confocal microscopy (RCM) enables clinicians to examine lesions’ morphological and cytological information in …

Evaluating Combinatorial Generalization in Variational Autoencoders

We evaluate the ability of variational autoencoders to generalize to unseen examples in domains with a large combinatorial space of …

Structured Disentagled Representations

Deep latent-variable models learn representations of high-dimensional data in an unsupervised manner. A number of recent efforts have …


  • alican@ece.neu.edu
  • 805 Columbus Ave., Boston, MA 02120
  • Northeastern University Interdisciplinary Science & Engineering Complex, Room 506