Senior Data Scientist
Multiscale Technologies
Atlanta, GA, United States
Aditya Venkatraman is a Materials Data Scientist at Multiscale Technologies, where he develops digital twin architectures to enable rapid process and yield optimization in semiconductor manufacturing. His work integrates multi-physics simulations with advanced AI/ML methodologies to solve complex challenges in wafer fabrication—ranging from outlier detection and process control to active learning and multi-objective optimization. As a core contributor to Multiscale’s digital twin backend, he builds modular and scalable solutions that fuse heterogeneous data sources, including tool sensor streams, metrology, physics-based models, and key performance indicators. His work aims to accelerate the development and deployment of robust process-metrology-tool-performance relationships, ultimately strengthening U.S. semiconductor technology, workforce, and supply chain resilience.
Prior to joining Multiscale, Aditya was a postdoctoral appointee at Sandia National Laboratories. His research focused on integrating multi-physics simulations with probabilistic machine learning to model component degradation under phenomena such as corrosion and fracture. During his time at Sandia, he also served as Chair of the Sandia Postdoctoral Development Association, where he organized professional development workshops, wellness initiatives, and technical showcases to support early-career researchers.
Aditya earned his Ph.D. in Mechanical Engineering from Georgia Tech, where his research focused on uncertainty quantification, verification and validation of solid mechanics models, and objective Bayesian methods for fusing disparate data streams. His work contributed to improving the predictive fidelity of mechanical property estimations across a range of engineering applications.
In addition to his technical work, Aditya is passionate about leadership and community-building in science and engineering. He has organized minisymposia at national conferences and continues to contribute to strategic efforts that advance semiconductor innovation and workforce development.
Outside of work, Aditya enjoys hiking, exploring national parks, and listening to audiobooks. He finds travel—both professional and personal—a rewarding way to recharge, reflect, and stay inspired.
Unsupervised Subspace Learning for Anomaly Detection in Fault Detection Data
Thursday, October 9, 2025
2:45pm - 3:05pm MT