James Kozloski

James Kozloski joined IBM Research in May 2001, where he’s worked in the Computational Biology Center at the T.J. Watson Laboratories in Yorktown Heights, NY.

He was named an IBM Principal Research Scientist in 2022 and leads IBM's department of Hybrid Biological-AI Modeling, working with external collaborators in Neuroscience, Cardiology, and Pharmacometrics, and modeling brain and heart function from synaptic plasticity in neural circuits to myocyte contraction to active heart and brain tissues. As a manager, James oversees efforts to use AI to solve stochastic inverse problems for biophysical models of disease and drug mechanism of action. His team focuses on quantitative systems pharmacology and PKPD for model-based therapeutic design and triaging, applying deep learning methods and generative models to population parameter inference. In 2017 he was inducted into IBM's Academy of Technology.

In addition to publishing his scientific work, James has over 250 issued patents in the areas of neuroscience, neurotechnology, and computer science. In 2010, he was named an IBM Master Inventor. In 2015, James began an IBM initiative to model computation in the neocortical, thalamic, and basal ganglia circuit, which has grown under his leadership into IBM’s Systems Neuroscience Approach to General Intelligence (SynAGI).

James joined IBM after completing a 2 1/2 year postdoctoral fellowship at Columbia University. He received his PhD. in Neuroscience and Biomedical Graduate Studies, from the University of Pennsylvania in 1999. He received a B.A. from the University of Virginia in 1992, having double majored in English and Biology. From 1992-1993, prior to graduate school, he worked in the Laboratory of Human Genetics in New York City, studying the rare genetic disorder Bloom Syndrome and contributing to discovering the gene responsible for it.

A printable version of his Curriculum Vitae is available here.