Are you an early career researcher in neuroscience, genetics, or biomedical research looking to enhance your expertise in behavior quantification? Join us for the Short Course on the Application of Machine Learning for Automated Quantification of Behavior.
Why Attend?
This course focuses on the fundamentals of quantitative behavior analysis, machine learning, and data science to equip early career researchers with the theoretical and technical skills to apply cutting-edge machine learning methods to behavioral quantification and modeling.
In-Person Experience:
- Hands-on Workshops. Receive expert-led training in experimental workflows, analysis tools, animal tracking algorithms, and advanced statistical modeling.
- Build Your Network. Connect with leading researchers and technology developers, including the course organizers Gordon Berman, Ph.D., Ann Kennedy, Ph.D., Ishmail Abdus-Saboor, Ph.D., and Vivek Kumar, Ph.D.
- Discuss Your Research. Present your research in poster sessions and participate in informal evening discussions to forge valuable collaborations and advance your career.
Virtual Access:
Can’t attend in person? Our virtual format allows you to access live-streamed lectures, participate in interactive Q&A sessions, and benefit from recorded content available for six months post-course.
Although virtual participants won’t have access to hands-on workshops, poster sessions, or evening events, the comprehensive online experience ensures you stay apprised of the latest theoretical and technical advancements in machine learning for automated quantification of behavior.
