2026 Faculty Development Day
For all faculty appointed in the Department of Laboratory Medicine and Pathobiology at the University of Toronto.
Where & when
Wednesday, November 11, 2026, 8:30 am - 2:30 pm
The Arcadian
401 Bay Street, Simpson Tower - 8th floor
Toronto, ON M5H 2Y4
Contact lmp.communications@utoronto.ca
Find out what happened at Faculty Development Day 2025 and see the photos in AI, Leadership and Cross-Disciplinary Connection Take Centre Stage at LMP’s 2025 Faculty Development Day.
Agenda
|
Time |
Topic and speaker |
|---|---|
|
8:30 – 9:00 am |
Registration and continental breakfast |
|
9:00 – 9:05 am |
Welcome from Dr. Rita Kandel |
|
9:05 – 10:05 am |
AI in Academic Medicine: What We Need to Know, Teach and Evaluate Dr. Laura Rosella, Dalla Lana School of Public Health |
|
10:05 – 10:15 am |
Break |
|
10:15 – 11:10 am |
Breakout Room #1: How I use AI in clinical practice: Tips, Tricks, and Tools Dr. Carlo Hojilla, Department of Laboratory Medicine and Pathobiology Breakout Room #2: Introduction to AI-Based Protein Structure Prediction, Analysis, and Design Dr. Matthew McCallum, Department of Laboratory Medicine and Pathobiology We will hold a minute of silence at 11:00 am for Remembrance Day |
|
11:20 – 11:30 am |
Leadership Development Showcase Hear short presentations from faculty members who received LMP leadership development awards about what they learnt and how they have applied it. Maybe you can apply this coming year. |
|
11:30 – 11:55 am |
Collaboration Catalyst Event
|
|
11:55 am – 12:05 pm |
Group photo |
|
12:05 – 2:10 pm |
Lunch & Collaboration Catalyst Event Discussion |
|
2:10 – 2:15 pm |
Closing remarks |
Keynote speaker: Dr. Laura Rosella, PhD, MHSc
Talk title: AI in Teaching for Clinicians and Researchers
Education Lead, The Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), Professor, Dalla Lana School of Public Health and LMP
Dr. Laura C. Rosella is a Full Professor and Division Head of Epidemiology at the Dalla Lana School of Public Health, University of Toronto, where she holds a Tier 1 Canada Research Chair in Population Health Analytics. She is an internationally recognized leader in population health data science, known for developing and applying advanced analytic methods, predictive models, and linked data approaches to improve population health, health system planning, and chronic disease prevention.
She founded the Population Health Analytics Lab and has authored more than 330 publications spanning data science, AI, predictive modelling, population health management, and health system planning.
Dr. Rosella is also Chief Scientist at the Institute for Better Health, Trillium Health Partners, and serves on the Executive team for the Trillium AI for Better Health Strategy, where she helps lead the responsible development and scaling of AI capability in the hospital setting.
She has received numerous honours, including Canada’s Top 40 Under 40, election to the Royal Society of Canada, the CIHR-IPPH Mid-Career Trailblazer Award, and election in 2025 as a Fellow of the Canadian Academy of Health Sciences.
Breakout 1: Dr. Carlo Hojilla, MD, PhD, FRCPC
Talk title: How I use AI in clinical practice: Tips, Tricks, and Tools
This breakout session will focus on the practical use of AI in clinical practice. Hear how an LMP colleague is using these tools in his own work and take away ideas you can explore in yours.
Dr. Carlo Hojilla is an Associate Professor in the Department of Laboratory Medicine and Pathobiology at the University of Toronto, a pathologist at Mount Sinai Hospital, Sinai Health, and Director of the Diagnostic and Molecular Pathology Residency Training Program.
His research interests include informatics, data analytics and computational tools to support lymphoma diagnosis and prognosis. He is also a leader in integrating new technologies into pathology education, developing innovative approaches to teaching and assessment, including digital pathology tools and virtual learning initiatives. His work bridges clinical practice, technology and medical education.
Breakout 2: Dr. Matthew McCallum, PhD
Talk title: Introduction to AI-Based Protein Structure Prediction, Analysis, and Designs
This breakout session will introduce practical AI-based tools for predicting, analyzing, and designing protein structures — and provide an opportunity for casual users to explore how these tools can be applied to common questions in biomedical research.
Dr. Matthew McCallum is an Assistant Professor in the Department of Laboratory Medicine and Pathobiology at the University of Toronto. A structural virologist with expertise in computational protein design and cryo-electron microscopy, his research focuses on understanding how viruses enter human cells and developing strategies to prevent infection.
His work has contributed to important discoveries on SARS-CoV-2 and other emerging viruses, informing vaccine development and our understanding of immune evasion. At LMP, he leads a research program combining computational protein design and structural biology to advance the development of next-generation vaccines and antiviral therapies.