Tom Hartvigsen

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Ph.D. Candidate at Worcester Polytechnic Institute.

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Hello! I’m a fourth-year Ph.D. student in the Data Science at Worcester Polytechnic Institute studying sequential representation learning, advised by Prof. Elke Rundensteiner and Prof. Xiangnan Kong and collaborating with Cansu Sen in the Data Science Research Group.

Research Interests

I am interested in machine learning for clinical decision making. This domain combines my interests/work in irregularly-sampled multivariate time series (for example a patient’s lab results), partially-observable markov decision processes (which medication should be given at a given time?), and Recurrent Neural Networks (high-capacity sequence modeling). So far, I have tackled specific topics such as time series interpolation, classifying clinical time series and sequences of notes, early classification, attributed document classification, and multi-source meta-embeddings for clinical notes.

Please feel free to contact me with questions regarding my research or Data Science at WPI at twhartvigsen ‘at’ wpi ‘dot’ edu.

Publications

Useful links

Personal

In my spare time, I enjoy rock climbing, cycling, reading (fantasy, science fiction, science fact), and playing guitar.

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