Tom Hartvigsen


Data Science Ph.D. student at Worcester Polytechnic Institute.

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I’m a Ph.D student in Data Science at Worcester Polytechnic Institute focusing on sequential machine learning, advised by Prof. Elke Rundensteiner and Prof. Xiangnan Kong and collaborating with Cansu Sen in the Data Science Research Group.


I am broadly interested in human learning and how we can emulate this process in computers, particularly how computers can build useful representations of the world. Recently, this agenda has led me down the path of recurrent neural networks (RNN), which loosely emulate human information representation. I am also interested in reinforcement learning and how it models sequential decision making, an integral part of how we interact with the world. My current research revolves around advancing RNNs for a variety of tasks including time series classification, sequential text document classification, and conditional computing.

Please feel free to contact me with questions regarding my research or Data Science at WPI at



In my spare time, I enjoy rock climbing, cycling, reading (fantasy and science outreach), and music (I play guitar/violin and listen mainly to folk, indie rock, and power metal).