Genomics seminars

Jiaqi Zhang examines how computational models can learn the effects of genetic interventions from single-cell experiments. Such experiments reveal causal relationships, but their high-dimensional measurements are costly to collect and difficult to interpret. The seminar connects identifiable causal representations with a predictive method for previously unseen perturbations. The approach incorporates prior biological knowledge and changes in data distributions to estimate responses at individual-cell resolution. It also uses predictions to guide subsequent experiments. An application identifies and experimentally validates previously unknown T-cell regulators with potential relevance to cancer immunotherapy. The recording follows the original July seminar; the series lists Zhang at MIT, while the recording biography describes her incoming Columbia appointment.

David Reich examines how sequencing DNA from ancient human remains has changed the reconstruction of population history. Genetic evidence from past cultures can reveal relationships and movements that are difficult to infer from living populations alone, sometimes challenging interpretations based on archaeology, language and written history. The lecture explores what these discoveries imply for understanding shared and complex human ancestries, and how knowledge of the past could inform the study of human health. A discussion with Carl Zimmer connects the research to the interpretation and communication of evidence about human history. The programme extends the paleogenomic research associated with the 2022 medicine prize through recent work on ancient and modern human DNA.