Tittu Varghese Mathew is probabilistic modeling specialist at Siemens Energy. Mathew completed his PhD in Mechanical Engineering from the Indian Institute of Technology Madras in 2020, specializing in stochastic numerical modeling, forward uncertainty quantification, and Bayesian inference. He then worked as a data scientist in several data-driven sectors, from real estate to banking, before joining Siemens Energy Canada in late 2022. Since then, he's been primarily working in the field of physics-informed machine learning for developing digital twins of grid assets. Mathew has been working in close collaboration with NVIDIA, and has extensively used the NVIDIA Modulus framework in developing PIML solutions.