Phase Space Invaders (ψ) Podcast Por Miłosz Wieczór arte de portada

Phase Space Invaders (ψ)

Phase Space Invaders (ψ)

De: Miłosz Wieczór
Escúchala gratis

With the convergence of data, computing power, and new methods, computational biology is at its most exciting moment. At PSI, we're asking the leading researchers in the field to discover where we're headed for, and which exciting pathways will take us there. Whether you're just thinking of starting your research career or have been computing stuff for decades, come and join the conversation!

© 2026 Phase Space Invaders (ψ) Ciencia Ciencias Biológicas
Episodios
  • Episode 32 - Robert Best, Sonya Hanson, Xuhui Huang: Driving the Future of Biophysics. What’s Next in Theory and Computation?

    Episode 32 - Robert Best, Sonya Hanson, Xuhui Huang: Driving the Future of Biophysics. What’s Next in Theory and Computation?
    Mar 24 2026

    Send us Fan Mail
    Más Menos
    1 h y 5 m
  • Episode 31 - Ezgi Karaca: Protein docking post-AlphaFold, legacy integrative modeling, and the importance of training events

    Episode 31 - Ezgi Karaca: Protein docking post-AlphaFold, legacy integrative modeling, and the importance of training events
    Feb 3 2026

    Send us Fan Mail
    Más Menos
    44 m
  • Episode 30 - Zan Luthey-Schulten: Whole-cell modeling, integrating biology through computation, and why honest collaborators are the best

    Episode 30 - Zan Luthey-Schulten: Whole-cell modeling, integrating biology through computation, and why honest collaborators are the best
    Jan 20 2026

    Send us Fan Mail

    In Episode 30, Zan Luthey-Schulten tells us the story of her most ambitious project over the last fifteen years or so: creating whole-cell simulations. In a reminder that true science knows no boundaries, she ties together a whole range of scientific disciplines - hardware optimization, stochastic calculus, reaction rates, advanced Hamiltonians, synthetic biology, cell imaging data, to eventually approach bioengineering and medicine. Zan also shares her stories and thoughts about how to pick collaborators, how to work together, and what we computational scientists can learn both from each other and from the broader field of biology or biophysics.
    Más Menos
    1 h y 24 m
Todavía no hay opiniones