I finished my undergraduate in the field of Mechanical Engineering at the Sharif University of Technology, Tehran, Iran, in 2007. After working for almost a year, I decided to come back to academia and started my graduate study in University at Buffalo in 2008, working with Dr. Puneet Singla on the field of uncertainty quantification. I defended my Ph.D. dissertation on May 14th, 2014 and pursued my research as a postdoctoral fellow at the Department of Imaging Physics at MD Anderson Cancer Center since September 2014.

After postdoc, I joined Bayer Crop Science as a geospatial research data scientist, applying the same mathematical principles and science to the field of digital agriculture and computational biology.

Currently, I am a data scientist in Amazon, focusing on supply chain simulation and optimization. My research interests primarily lie in the field of uncertainty quantification, model – data fusion, computational biology, information theory, medical imaging, and image processing. These include topics such as:

• Robust model-data fusion techniques in absence of sensor error characteristics
• Uncertainty quantification and dimensionality reduction of large-scale dynamical systems
• Optimal experiment design and its applications
• Machine learning algorithms
• Natural hazard risk assessment
• Optimal Transportation theory
• Supply chain simulation
• Magnetic Resonance guided Laser Induced Thermal Therapy (MRgLITT)