Summary
Tara Athan is a knowledge representation and applied mathematics specialist with over 15 years running Athan Services and a research pedigree dating to a 1986 Caltech Ph.D. in bending of thin plates. She transitioned from quantitative modeling across fluid mechanics, combustion, fate & transport, and probabilistic risk assessment to focus on formalizing how simulation results and models are represented, contributing to RuleML, LegalRuleML and Common Logic. Her career spans national labs, academia and industry roles where she led interdisciplinary teams on Bayesian analysis, multi-resolution methods and decision support for environmental problems. Based in West Lafayette, she combines deep theoretical insight with practical implementation experience, uniquely blending cartography/GIS training from Leeds with decades of simulation modeling. Colleagues rely on her to translate complex scientific simulations into auditable, machine-readable knowledge structures that support policy and decision-making.
15 years of coding experience
11 years of employment as a software developer
Coursera
Bachelor's degree, Chemistry, Bachelor's degree, Chemistry at Indiana University Bloomington
Master's degree, Geographic Information Science and Cartography, Master's degree, Geographic Information Science and Cartography at University of Leeds
Masters of Science, Mathematics, Masters of Science, Mathematics at The University of Texas at Arlington
California Institute of Technology
English, Spanish