Biography
Dr. Tridip Das is a highly accomplished postdoctoral fellow and staff scientist currently at the California Institute of Technology (Caltech), where he utilizes quantum mechanics (QM) and molecular dynamics (MD) simulations to predict novel materials for sustainable solutions. His work primarily focuses on advancing force fields, such as ReaxFF, for MD simulations, and design new materials and mechanism in nanometers scale while collaborating with top-tier experimentalists worldwide to bridge the gap between theoretical predictions and experimental outcomes.
Dr. Das completed his Ph.D. in Chemical Engineering at Michigan State University in 2017, with a focus on solid oxide fuel cell cathodes and materials design using density functional theory (DFT). He holds an M.Tech. in Chemical Engineering from IIT Kharagpur (2012) and a Bachelor of Engineering (B.E.) from Jadavpur University (2006), with top-tier academic performance throughout his career.
Before his current role at Caltech, Dr. Das worked at Intel Corporation as a Process Development and Integration Yield Engineer from 2017 to 2021, where he was instrumental in improving yield through statistically driven experiments and providing real-time support for process issues related to the development of next-generation Intel processors, as well as contributing significantly to the development and integration of new processes within cleanroom environments. His professional journey also includes a summer cooperative education position at the Toyota Research Institute of North America, where he developed a new material search algorithm for identifying potential electrolyte candidates for all-solid-state batteries. Earlier in his career, he worked as a Production Engineer with Oil and Natural Gas Corporation in India and as a Software Consultant for Capgemini India, contributing to credit decision management systems for North America, Australia and Southeast Asia.
In addition to his work in research, Dr. Das has shown a passion for teaching and mentoring. He has served as a course instructor at Caltech, mentoring graduate students and postdocs while also teaching undergraduate researchers. He previously worked as a teaching assistant at Michigan State University, where he actively participated in outreach programs to ignite young minds' curiosity about science.
Among his many accolades, Dr. Das has earned certifications from MIT Professional Education in design, manufacturing, machine learning, and AI for computational design. He has also chaired sessions at major conferences such as AIChE and ACS, contributing to the dissemination of cutting-edge research in chemical en gineering and materials science.
With his diverse expertise, accomplishments, and leadership in both academic and industrial spheres, Dr. Tridip Das is a key figure in advancing sustainable materials science and the integration of computational methods with experimental techniques.