Sarah M. Preum, PhD
Assistant Professor, Department of Computer Science, Dartmouth College
Sarah M. Preum is an Assistant Professor in the Computer Science Department at Dartmouth College. She is also an adjunct professor in Biomedical Data Science at the Geisel School of Medicine. Sarah develops novel machine learning techniques to enable and enhance computational health. She focuses on natural language processing, temporal modeling, and human-AI interaction to provide safe, personalized decision support for domain-specific digital health applications.
Some of her ongoing research projects include (i) mining social media data to inform evidence-based care delivery, (ii) identifying unsafe health information to increase patient safety, (iii) developing intelligent assistant to increase treatment adherence, and (iv) dynamic modeling of heterogeneous clinical time series for improved decision support at ICU.
Sarah has received her PhD in CS from the University of Virginia. Before joining Dartmouth, she was a postdoctoral research scholar in the School of Computer Science at Carnegie Mellon University. Sarah was one of the Rising Stars in EECS in 2020, an international cohort of future female faculties in EECS who demonstrate academic excellence and commitment to advancing equity and inclusion. In addition, she is a recipient of the UVA Graduate Commonwealth Fellowship, the Adobe Research Scholarship, the NSF Smart and Connected Health Student Award, and the UVA Big Data Fellowship.
Sarah enjoys cooking, hiking, reading, and spending time with her family.
Selected Publications
- Preum SM, Munir S, Ma M, Yasar MS, Stone DJ, Williams R, Alemzadeh H, Stankovic J. A review of cognitive assistants for healthcare: Trends, prospects, and future directions. ACM Computing Survey. 2021: 53(6).
- Preum SM, Alemzadeh H, Stankovic J. EMSContExt: EMS protocol-driven Concept Extraction for cognitive assistance in emergency response. Proceedings of the AAAI Conference on Artificial Intelligence; 2020 February; New York, NY. Palo Alto: AAAI Press; 2020 April. pp. 13350-13355.
- Shu S, Preum S, Pitchford HM, Williams RD, Stankovic J, Alemzadeh H. A behavior tree cognitive assistant system for emergency medical services. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); 2019 November; Macau, China. IEEE; 2020. pp. 6188-6195.
- Preum S, Shu S, Hotaki M, Williams R, Stankovic J, Alemzadeh H. CognitiveEMS: A cognitive assistant system for emergency medical services. ACM SIGBED Rev. 2019 August; 16(2): 51–60.
- Preum SM, Mondol AS, Ma M, Wang H, Stankovic JA. Preclude2: Personalized conflict detection in heterogeneous health applications. Pervasive and Mobile Computing. 2017 December; 42: 226-247.
- Preum SM, Mondol A, Ma M, Wang H, Stankovic J. Preclude: Conflict detection in textual health advice. Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom); 2017 March; Kona, HI. IEEE; 2017 May.
- Preum SM, Stankovic J, Qi Y. MAPer: A multi-scale adaptive personalized model for temporal human behavior prediction. CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management; 2015 October; Melbourne, Australia. New York: ACM; 2015. pp. 433-442.