Chloe Lam

About Me & My Lessons
I am a final-year Psychology student at a UK university with a strong academic and research background in cognitive and affective processes, emotion recognition, and computational modeling. My expertise spans experimental psychology, AI applications in psychology, and statistical analysis, and I have experience delivering lectures as a Senior Peer Leader. With an A-Level background in psychology, I have built a deep understanding of psychological theories, research methods, and data-driven analysis.

Who My Lessons Are Aimed At:
-Undergraduate and postgraduate psychology students seeking to deepen their understanding of cognitive and affective processes, research methods, and data analysis.
-Aspiring researchers who need guidance on experimental design, statistical analysis (e.g., mixed-effects models, PCA, Bayesian modeling), and integrating AI in psychology.
-Students interested in cognitive neuroscience and computational modeling, exploring how psychology intersects with artificial intelligence and machine learning.
-Anyone curious about human behavior, emotion recognition, and social cognition, whether for academic, personal, or professional growth.

Skills & Experience:
-Strong Academic & Research Background: Specializing in cognitive and affective psychology, deep learning, and computational models.
-Teaching & Mentorship: Experience delivering lectures as a Senior Peer Leader, mentoring students in research design, statistical methods, and AI applications in psychology.
-Advanced Research Expertise: Proficient in experimental design, mixed-effects models, Bayesian analysis, and AI-driven psychological modeling.
-Effective Communication: Skilled in simplifying complex psychological theories and data analysis into engaging, real-world examples.
-Project Management & Leadership: Internship at the Centre for Higher Education Practice (CHEP), leading teams and coordinating university-wide initiatives.

Teaching Approach:
-I break down complex psychological theories and research methods into easy-to-understand, real-world examples.
-Encourage critical thinking through case studies, debates, and real-life applications of psychological concepts.
-Provide guidance on research projects, statistical analysis, and integrating AI in psychology.
-Adapt lessons to each student’s learning style, academic level, and specific goals.
Engaging & Supportive Environment: Foster a comfortable, open space for students to ask questions and develop their understanding.