Faculty profile

Dan Lizotte

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Associate ProfessorDepartment of Computer ScienceWestern University

Dan Lizotte

Associate Professor

Department of Computer Science

Western University

London, Ontario, Canada

Supervision signals

Professors usually supervise graduate students in their department's programs.
55 publications in the last five years, latest in 2026.
Senior (last) author on 15 recent papers, a sign of leading a research group.

These signals come from public records, including federal and provincial funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

153

Publications

3,932

Citations

105

Collaborators

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

Profiles and links

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Signals and details

Research

Read how they describe their research on their Western University profile.

Machine learning biostatistics and health

Latest papers

Evaluation of s-EMG Sensor Locations for Upper-Limb Compensatory Movement Detection
IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2026
SNFsim: A Discrete Event Simulator for Decision Support in Skilled Nursing Facilities
The international journal of microsimulation · 2026 · senior author
Cross-Task Generalization of Reinforcement Learning-Enhanced LLM Agents for Scalable Decision Frameworks
American Journal of Data Science and Analysis · 2026 · first author

All 153 publications

From the 150 most recent of 153 publications.

Evaluation of s-EMG Sensor Locations for Upper-Limb Compensatory Movement Detection

Mahshad Berjis, Marie-Eve LeBel, Daniel J. Lizotte, Ana Luisa Trejos

IEEE Transactions on Neural Systems and Rehabilitation Engineering20261 citationsOpen Access

DOI: 10.1109/tnsre.2026.3663991 PMID: 41678485

SNFsim: A Discrete Event Simulator for Decision Support in Skilled Nursing Facilities

Caroline Strickland, Brittin Wagner, Stanley Wang, Daniel J. Lizotte

The international journal of microsimulation2026Senior authorOpen Access

DOI: 10.34196/ijm.00337

Cross-Task Generalization of Reinforcement Learning-Enhanced LLM Agents for Scalable Decision Frameworks

Daniel J. Lizotte, David Duvenaud, Kevin Leyton-Brown

American Journal of Data Science and Analysis2026First authorOpen Access

DOI: 10.71465/ajdsa3667

Explainable AI for Clinical Decision Support Systems: Literature Review, Key Gaps, and Research Synthesis

Mozhgan Salimparsa, Kamran Sedig, Daniel J. Lizotte, Sheikh Shaugat Abdullah, Niaz Chalabianloo, Flory Tsobo Muanda

Informatics202533 citationsOpen Access

DOI: 10.3390/informatics12040119

Why Is Primary Care Different? Considerations for Machine Learning Development with Electronic Medical Record Data

Jacqueline Kathleen Kueper, Winston R. Liaw, Daniel J. Lizotte, Sian Hsiang‐Te Tsuei

NEJM AI20255 citations

DOI: 10.1056/aip2401122

Utilizing Predictive Analytics to Understand Neurogenic Bladder Symptom Score (NBSS) Variations in Adults With Acquired Spinal Cord Injury.

Nejad-Mansouri M, Lizotte D, Myers J, Elliott S, Stoffel JT, Lenherr S, Lyons R, Zhong T, Welk B

Neurourology and urodynamics20254 citationsOpen Access

DOI: 10.1002/nau.70116 PMID: 40631435

Stepwise considerations when using artificial intelligence tools for administrative tasks in primary care

Amanda Lee Terry, Keith Thompson, Sian Hsiang‐Te Tsuei, Daniel J. Lizotte

Canadian Family Physician20253 citationsSenior authorOpen Access

DOI: 10.46747/cfp.7106e90 PMID: 40523749

Stacked one-vs-one (SOvO): A new approach for multi-class classification for sEMG recognition

Maedeh Mohammadiazni, Daniel J. Lizotte, Ana Luisa Trejos

Pattern Recognition20252 citationsOpen Access

DOI: 10.1016/j.patcog.2025.112659

Social Adversity Is Causally Linked to Multimorbidity Including Oral Conditions

A.O. Esemezie, Daniel J. Lizotte, Georgios Tsakos, Noha A. Gomaa

Journal of Dental Research20252 citationsOpen Access

DOI: 10.1177/00220345251362201 PMID: 40913322

Selecting Muscles for Detection of Upper-Limb Compensatory Movements Using s-EMG Sensors

Mahshad Berjis, Marie-Eve LeBel, Daniel J. Lizotte, Ana Luisa Trejos

IEEE Transactions on Medical Robotics and Bionics20251 citations

DOI: 10.1109/tmrb.2025.3531015

Profile data last refreshed on September 29, 2026 from the university directory, publication records and public research funding records.

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Dan Lizotte

Research

Latest papers

Evaluation of s-EMG Sensor Locations for Upper-Limb Compensatory Movement Detection

SNFsim: A Discrete Event Simulator for Decision Support in Skilled Nursing Facilities

Cross-Task Generalization of Reinforcement Learning-Enhanced LLM Agents for Scalable Decision Frameworks

Explainable AI for Clinical Decision Support Systems: Literature Review, Key Gaps, and Research Synthesis

Why Is Primary Care Different? Considerations for Machine Learning Development with Electronic Medical Record Data

Utilizing Predictive Analytics to Understand Neurogenic Bladder Symptom Score (NBSS) Variations in Adults With Acquired Spinal Cord Injury.

Stepwise considerations when using artificial intelligence tools for administrative tasks in primary care

Stacked one-vs-one (SOvO): A new approach for multi-class classification for sEMG recognition

Social Adversity Is Causally Linked to Multimorbidity Including Oral Conditions

Selecting Muscles for Detection of Upper-Limb Compensatory Movements Using s-EMG Sensors

Frequent collaborators

Daniel Lizotte

Jacqueline Kueper

Amanda Terry

Merrick Zwarenstein

Bridget Ryan

Greta Bauer

Richard Booth

Cheryl Forchuk

Michael Bauer

Michael Bowling

Kamran Sedig

Russell Greiner

Kelly Anderson

Mark Speechley

Keli Anderson

Dale Schuurmans

Abraham Rudnick

Russ Greiner

Arlene Macdougall

Ana Trejos

Erin Huner