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

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