Sadjad holds a Ph.D. in Chemical Engineering and completed a prestigious postdoctoral fellowship in computational mass spectrometry at the Icahn School of Medicine where the Metabolomics Association of North America recognized him for his groundbreaking work. Now focusing on the development of biodegradation digital twins, Sadjad is a leading expert in applying advanced AI techniques to predict material biodegradability. Sadjad believes that integrating language-based models will drive a new era of highly accurate QSAR/QSPR models leading to accelerated discovery and optimization of material properties in the near future.