
Explore a working wave function evolver for a Gaussian wave in a 2-D harmonic oscillator potential, with debugging and tweaks demonstrated in VPython.

Explores a dual-scale LES model for simulating sub-filter dynamics of immiscible interfaces, advancing understanding of fluid mixing and interface behavior in complex flow systems.

Explore how genomics, imaging, and AI are revolutionizing basic research, transforming our understanding of biology and accelerating scientific discoveries.

Explore conceptual models of immunity and their applications in public health, focusing on mathematical approaches to understanding immune system dynamics.

Explore biological network dynamics and design, focusing on specific case studies. Gain insights into complex systems and their applications in theoretical approaches to cancer research.

Explore systems analysis of temozolomide response in glioblastoma, uncovering insights into cancer treatment through advanced modeling and data interpretation techniques.

Explore morphogenesis in cancer with Ramray Bhat, examining fundamental principles and theoretical approaches to understanding cancer progression and potential treatment strategies.

Explore systems biology approaches to unravel cell cycle dynamics, focusing on mathematical modeling and computational techniques to understand complex cellular processes.

Explore mammalian cell cycle regulation modeling techniques, focusing on theoretical approaches to understand cancer progression and treatment. Gain insights into advanced mathematical and computational methods.

Explore disease map modeling and analysis techniques for understanding complex biological systems and their applications in cancer research and treatment strategies.

Explore systems-level analysis of phenotypic switching in melanoma, focusing on design principles and their implications for understanding cancer progression and developing targeted treatments.

Explore cell-state dynamics through high-resolution lineage tracking, uncovering insights into cancer progression and potential treatment approaches in this theoretical biology lecture.

Explore decision-making processes in individual cancer cells, examining factors influencing cell survival and death. Gain insights into cellular behavior and its implications for cancer progression and treatment.

Explore decision-making processes in individual cancer cells, examining the interplay between randomness and determinism in cellular behavior and its implications for cancer progression.

Explore how mathematical models and interdisciplinary approaches can enhance our understanding of cancer progression, metastasis, and treatment resistance, potentially leading to new therapeutic strategies.

Explore local weak convergence in random constraint satisfaction problems with Princeton's Allan Sly, delving into advanced statistical mechanics concepts beyond two dimensions.

Explore ensemble-level TNFR1 mediated apoptosis response modulation, delving into advanced concepts of cancer cell death mechanisms and potential therapeutic implications.

Explore Boolean modeling for biological networks, focusing on cancer progression. Learn theoretical approaches to understand complex biological systems and their applications in cancer research.

Explore hybrid filtering for Lagrangian data assimilation and tipping points in Earth systems. Gain insights into advanced geophysical fluid dynamics techniques and their applications in climate science.

Explore coupled oscillators and matrix applications in physics. Gain insights into theoretical aspects through hands-on experiments and open-ended discussions. Designed for women pursuing physics careers.

Explore critical behavior in systems with boundaries and defects through numerical studies. Gain insights into strongly correlated gapless quantum many-body systems and their theoretical implications.