Mentorship roundtables
in
Affinity Event: Women in Machine Learning
Abstract
Themed small-group mentoring discussions:
Mental Health and Resilience in Grad School/General Career
Managing Advisor–Student Relationships
Developing a Research Vision and Identity
Finding Mentors and Collaborators Throughout Your Career
Scientific Communication and Networking
Choosing Between Academia, Industry, and Other Career Paths
Getting a Job in Academia
Getting a Job in Industry
Career Transitions Across Academia, Industry, and Startups
Non-Traditional and Interdisciplinary Paths in ML
Leadership and Research Management
Seeking Funding and Fellowships in Academia
Peer Review, Publication, and the Research Ecosystem
Balancing Research with Community Service
Building Research-Driven Startups and Entrepreneurial Thinking
Life in Academia
Life in Industry Research
Keeping Up with Academia While in Industry
Life with Kids: Parenting and Research Careers
Addressing the Gender Gap and Building Inclusive ML Communities
Statistical and Causal Inference
Optimization and Learning Theory
Interpretability and Explainability
Robust and Trustworthy ML
Fair, Ethical and Responsible AI
AI Alignment, Safety and Governance
Federated, Transfer and Continual Learning
Machine Unlearning
Reinforcement Learning
AI Agents and Agentic Systems
Robot Learning and Human-Robot Interaction
Computer Vision
Natural Language Processing
Neuroscience and Cognitive Science
ML for Science
AI for Health and Biomedical Applications
AI and Creativity
AutoML and Deployment Integration
AI for Climate Change, Sustainablility and Environment
Generative Models
Apple (Exploring career pathways in industry)
Google (Thriving in AI: Mastering Research, Relevance, and Real-World Application)
Microsoft (Early careers at Microsoft)
Abridge
Two Sigma (From PhD to Quant Research)
Guide Labs (Interpretable and Auditable AI Systems)