Goldberg Lab
Image Informatics and Computational Biology Unit, National Institute on Aging, Baltimore, USA
Ilya is in charge of the
Image Informatics and Computational Biology Unit
at the National Institute on Aging (part of NIH).
Past OME developers in the Goldberg Lab
Harry Hochheiser was a post-doctoral researcher in the
Goldberg Lab from 2003-2006. He is now an
Assistant Professor
of
Computer Science
at
Towson University,
where he continues to work on OME, Bioinformatics, Human-Computer Interaction,
Information Visualization, and the social implications of computing
technologies.
Josiah Johnston was part of Ilya's lab at the National
Institute on Aging (part of NIH). He has now moved on
to study for a PhD. He got a B.S. in Computer
Science from the University of Arkansas, Fayetteville.
Technical interests include working with ontologies, data
modelling, and machine learning. Professionally, he is
interested in developing technologies with positive social
and economic implications on both local and global scales.
OME technologies hold high promise of medical costs through
computer assisted diagnosis, and reducing the price of
medicines by making novel drug discovery cheap and easy. In
his free time, he works towards
peace,
social justice, and community development.
Tom Macura is a Doctoral student in the Computer
Laboratory at the University of Cambridge, United Kingdom
as a member of Trinity College. His undergraduate degrees
are in Mathematics and Computer Science, from the
University of Maryland, Baltimore County. His
professional interests are Image Analysis, Machine
Learning, and Content Based Image Retrieval of biological
images. His appointment at the National Institute on
Aging, Laboratory of Genetics, Image Informatics and
Computational Biology Unit that is headed by Dr. Ilya
G. Goldberg is as a NIH-Cambridge Scholar.
Nikita Orlov is part of Ilya's lab at the National Institute on
Aging (part of NIH).
Lior Shamir just recently graduated with Ph.D in Computer Science from Michigan Tech. He is interested in different forms and applications of computer vision, including biomedical image analysis, astronomical image analysis, face recognition, object recognition, and automated analysis of visual art. He enjoys spending time with his daughter.
