Your profile will be made available to McGill Faculty, and you will be able to see the roles looking for experts, we are not just a posting board, we will help you find opportunities to contribute.

1. Guest Lectures

• Deliver a presentation on a specific topic (e.g., AI ethics, machine learning applications, data visualization).
• Share insights on industry trends or emerging technologies.
• Discuss their career journey and lessons learned in analytics or related fields.

2. Thought Leadership Series - Expert Voices Publications

• Deliver a series of talks or workshops on a specialized topic over multiple sessions.
• Explore complex themes like the societal impact of AI or the future of work in analytics.
• Engage students in deep discussions and debates.

3. Networking Events

• Speak at or facilitate networking events for students and alumni.
• Share insights on building professional networks and finding opportunities in analytics.
• Connect with students informally to discuss career paths and industry trends.

4. Panel Discussions & Fireside Chats

• Participate in a panel on topics like "The Future of Data Analytics" or "Ethical Challenges in AI."
• Debate contrasting perspectives with other experts or faculty members.
• Answer student questions during a Q&A session.
• Engage in an informal conversation with faculty or students about their career path, industry experiences, or personal insights.
• Share stories of overcoming challenges or pivoting careers.
• Offer advice on navigating the analytics job market or advancing in the field.

5. Case Competitions & Hackathons

• Serve as a judge for student teams solving real-world business problems.
• Provide feedback on presentations and solutions.
• Help design case challenges based on real-world scenarios from their industry.
• Mentor students during hackathon events focused on coding, data science, or AI projects.
• Judge final projects and provide constructive feedback.
• Offer insights into how to approach technical challenges in a professional setting.