Symposium on Machine Learning and Data Modelling in the Biomedical Sciences (MLDMBioMed-2022)
Organizers:
Woldegebriel Assefa Woldegerima (Chair), York University, email: wassefaw@yorku.ca
Jude Kong, York University, email: jdkong@yorku.ca.
Jianhong Wu, York University, email: wujh@yorku.ca.
Symposium dates: September 27 - 28, 2022 from 9:00AM -17:30 EDT (Tornto, Canada time)
Symposium Zoom Recording:
- Sep 27, Morning session only, zoom recording.
- Sept 27, Afternoon session: Part I recording, and Part II Recording.
- Sept 28, morning session: Part I, Click here and for Part II, click here
- Sept 28, afternoon session: Recording
Participation registration, [CLOSED].
Invited Speakers:
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Updated Program of the scheduled talks, click this link: ScheduleProgram-MLDMBioMed-2022
Updated Book of abstracts: Book-of-Abstracts- Updated- MLDMBioMed
Description: In recent years, data science and machine learning have been used to provide analytical view and insights of real-world problems and predict future outcomes. Modelling, prediction, and control in biological and medical sciences and public health policy and practice are being revolutionized by data-driven discovery and significant progress has been made for the integration and intersection of data science, machine learning, and dynamic systems.
This symposium aims to bring together mathematical modellers and data scientists focused on the use of machine learning and other analytical tools in data science. The symposium will focus on emerging, re-emerging and future directions in topics related to key areas in machine learning and data modelling applied to biomedical sciences. Lectures and panel discussions of the symposium will be suitable for audiences with various backgrounds in the mathematical sciences.
Furthermore, we anticipate that this symposium will serve as a platform for experts, researchers, graduate students, and other participants to share their research experiences, and hopefully, this will lead to future collaborations and networking.
Topics of interest include, but are not limited to:
- Application of ML in biomedical sciences
- ML for data modelling
- ML methods for dynamical systems
- Data modelling applied to biomedical sciences
- Data analysis and mathematical approaches to machine learning
- Emerging ML applications for biomedical sciences/ infectious diseases modelling
- Data-driven risk management.
The symposium is organized by the Laboratory for Industrial and Applied Mathematics (LIAM) at York University, Department of Mathematics and Statistics in collaboration with the Africa-Canada AI and Data Innovation Consortium (ACADIC).
This will be an annual series, each symposium will feature plenary lectures and panel discussions, invited and contributed talks, and posters. The 2022 session will be hybrid with the majority of participants participating online.
Program of the scheduled talks, click this link: ScheduleProgram-MLDMBioMed-2022
For registration and abstract submission (closed), We no longer accepts abstract submissions
Abstract submission due date (closed): September 15, 2022
[Extended until Sep 28]. Participation registration due date: September 20, 2022, click here.
Invited speakers: 45 min-60 min (45min=35 min +10 min Q&A, or, 60 min= 45 +15 min Q&A)
Contributed talk: 30 min (25 min +5 min Q &A).
In case you may question, please contact Woldegebriel Assefa (wassefaw@yorku.ca).
