A brief introduction.

I am currently doing research in computational neuroscience and computer vision at CSAIL, MIT under Dr. Aude Oliva. I previously received a degree in Neuroscience, Physics and Math from Bates College.

I enjoy applying machine learning to problems in biology and medicine while primarily advancing engineering knowledge. This academic year, I have successfully pursued a joint neuro-physics thesis investigating the molecular organization of the mouse olfactory system. In particular, I have analyzed in-situ hybridization data provided by the Allen Brain Institute to quantify spatial patterning and clustering of gene expression across the OB's mitral cell layer, for a large fraction of the genome. My long-term research goals are focused on promoting a self-propagating convergence of neural science and machine learning.

Some of my general interests are:

  • Deep Learning
  • Computer Vision
  • Neuroscience
  • Artificial Intelligence

Community Outreach

Some of the organizations I have worked with in the past.

Industry Experience

Places and teams I hope to work with in the future.

Research Scientist, Google Brain/DeepMind Team
Research Engineer, Facebook AI Research (FAIR)
Research Scientist, MIT-IBM Watson AI Lab


Subjects I've studied over the years.

Summer 2016

University of Pittsburgh

REU in Computational Biology
Advisor: Chakra Chennubhotla


Bates College

BS, Neuroscience, Physics, Mathematics
Advisors: Jason Castro, Travis Gould


Rivers High School

Graduated with Distinction
Cum Laude Society
High Honors 2009 - 2012
Scholar Athlete Awards 2009 - 2012


A collection of side projects, research studies, and course assignments.


An overview of my research interests, publications, etc.


    Bioimage informatics, image registration, computational anatomy

    Application Areas

    Medical diagnosis, study of disease processes

  • Past Groups

  • Rosen Lab (2013)
    Department of Developmental Biology
    Harvard School of Dental Medicine

    Corkey's Lab (2012)
    Obesity Research Center
    Boston University School of Medicine

  • Recent Publications

    1. Temporal Relational Reasoning in Videos. Bolei Zhou, Alex Andonian, Antonio Torralba arXiv:1711.08496, 2017. PDF Website Code
    2. N-linked glycosylation of the bone morphogenetic protein receptor type 2 (BMPR2) enhances ligand binding. Jonathan W. Lowery, Jose M. Amich, Alex Andonian, Vicki Rosen. Cellular and Molecular Life Sciences. 2013. PDF
      • Presentations and Other Papers

        1. A Deep-Learning Pipeline for Studying Olfactory Bulb Molecular Anatomy at Genomic Scale. Alex J. Andonian, Daniel A. Paseltiner, Jason B. Castro. November 2017. Poster
        2. Data Driven Approaches for Investigating Molecular Heterogeneity of the Brain. A. Andonian. Mt. David Summit, Bates College, March 2017.
        3. Informatics Tools for Quantifying Intratumor Heterogeneity in Multiplexed Fluorescence Tissue Data. A. Andonian. Council on Undergraduate Research's Research Experiences for Undergraduates Symposium. National Science Foundation's Atrium, Arlington Virginia. October 2016.
        4. Scalable Informatics Tools for Investigating Intra-Tumor Heterogeneity in Breast Cancer. A. Andonian. Summer Undergraduate Research Symposium, University of Pittsburgh and Duquesne University. July 2016. PDF Code Poster