CV

Education

• B.S. in Computer Science, Marquette University, 2023
• M.S. in Computer Science, University of Minnesota, 2007
• Ph.D in Computer Science, University of Minnesota, 2010

Work experience

• June 2023 - Current
  • Associate Professor
  • Department of Pediatrics, Harvard Medical School
• 2014 - Current
  • Staff scientist
  • Computational Health Informatics Program
  • Boston Children’s Hospital
• Jan 2018 - May 2023
  • Assistant Professor
  • Department of Pediatrics, Harvard Medical School
• 2014 - Jan 20128
  • Instructor
  • Department of Pediatrics, Harvard Medical School
• May 2011 - 2014
  • Postdoctoral Research Fellow
  • Computational Health Informatics Program, Boston Children’s Hospital
  • Department of Pediatrics, Harvard Medical School

Publications

Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes

Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes. Abigail Derton, Marco Guevara, Shan Chen, Shalini Moningi, David E. Kozono, Dianbo Liu, Timothy A. Miller, Guergana K. Savova, Raymond H. Mak, and Danielle S. Bitterman. JCO Clinical Cancer Informatics 2023 :7

Representing and utilizing clinical textual data for real world studies: An OHDSI approach

Vipina K. Keloth, Juan M. Banda, Michael Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy Miller, Karthik Natarajan, Olga V Patterson, Yifan Peng, Kalpana Raja, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian Reich, Clair Blacketer, Patrick Ryan, George Hripcsak, Noémie Elhadad, Hua Xu, Representing and utilizing clinical textual data for real world studies: An OHDSI approach, Journal of Biomedical Informatics, Volume 142, 2023

End-to-end clinical temporal information extraction with multi-head attention

Timothy Miller, Steven Bethard, Dmitriy Dligach, and Guergana Savova. 2023. End-to-end clinical temporal information extraction with multi-head attention. In The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, pages 313–319, Toronto, Canada. Association for Computational Linguistics.

Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models

Lijing Wang, Yingya Li, Timothy Miller, Steven Bethard, and Guergana Savova. 2023. Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15746–15761, Toronto, Canada. Association for Computational Linguistics.

Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles

Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, and Timothy Miller. 2023. Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. In Proceedings of the 5th Clinical Natural Language Processing Workshop, pages 125–130, Toronto, Canada. Association for Computational Linguistics.

A computable case definition for patients with SARS-CoV2 testing that occurred outside the hospital

Lijing Wang, Amy R Zipursky, Alon Geva, Andrew J McMurry, Kenneth D Mandl, Timothy A Miller, A computable case definition for patients with SARS-CoV2 testing that occurred outside the hospital, JAMIA Open, Volume 6, Issue 3, October 2023, ooad047

Deep Learning-Based Natural Language Processing to Automate Esophagitis Severity Grading from the Electronic Health Records

Talks

Service and leadership

• Currently signed in to 43 different slack teams