Kiran Vaddi, Ph.D.

I am a postdoc scholar in the Department of Chemical Enginerring at the University of Washington, Seattle. I am also an affilitate at the eScience Institute as a UW Data Science Postdoctoral Fellow and Co-chair the weekly postdoc seminar series at the eScience. I am working at the interface of Machine learning and Material Sciences with special focus on the relaization of autnoumous material discovery and design. Previously, I spent five wonderful years at the Indian Institute of Technlogy Madras and obtained bachelors and masters from the department of Mechanical Engineering.

Research Interests

My main research interests are learning representations for data-efficient scientific discovery and understanding of physical phenomenon. Representations play key role in realizing the dream of autonomous experimental design using techniques such as active learning and reinforcement learning. I am interested in developing frameworks to understand materials based on their topology and (differential) geometry that are both computationally tractable and interpretable.

Others

I am an ardent cricket fan and spend a lot of my free time watching, analyzing and writing about the beatiful game I’ve been watching for the better part of 20 years! I also watch a lot of Formula 1 which takes up most of my weekends during the season. I have keen interest in music (composing, production etc.,) and self-taught myself how to play a little bit of keyboard and typically enjoy A.R.Rahman, twenty-one-pilots, and Yanni.