Applying Data Science and Artificial Intelligence to Managing Biomedical Portfolios - Lecture 18
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Overview
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Explore how innovative financial engineering can tackle major societal challenges through this lecture from MIT's mathematics with applications in finance course. Discover Professor Andrew Lo's insights on creating diversified investment portfolios that reduce risk and attract capital for high-stakes ventures in rare disease research and energy transition. Learn through concrete examples from gene therapy breakthroughs and fusion energy development how new financing models can transform high-risk, long-term scientific projects into viable ventures with significant social and economic returns. Understand the critical intersection of data science, artificial intelligence, and portfolio management in the biomedical sector, and examine how mathematical approaches can unlock funding for projects that might otherwise struggle to secure traditional investment.
Syllabus
Lecture 18: Applying Data Science and Artificial Intelligence to Managing Biomedical Portfolios
Taught by
MIT OpenCourseWare