Past Events

  • Math-Bio seminar: "Structured latent factor models to recover interpretable networks from transcriptomic data"

    Carolyn Lynch Laboratory, 318

    Barbara Engelhardt, Princeton University

    Latent factor models have been the recent focus of much attention in "big data" applications because of their ability to quickly allow the user to explore the underlying data in a controlled and interpretable way. In genomics, latent factor models are commonly used to identify population substructure, identify gene clusters, and control noise in large data sets. In this talk I present a general framework for Bayesian latent factor models.

  • High Energy Seminar: "Entanglement, Holography and Causal Diamonds"

    David Rittenhouse Laboratory, 2N36

    Michal Heller (Perimeter Institute)

  • Department Colloquium: "Perturbation and Control of Human Brain Network Dynamics"

    David Rittenhouse Laboratory, A8

    Danielle Bassett (UPenn), Hosted by: Andrea Liu

    The human brain is a complex organ characterized by heterogeneous patterns of interconnections. New non-invasive imaging techniques now allow for these patterns to be carefully and comprehensively mapped in individual humans, paving the way for a better understanding of how wiring supports our thought processes.

  • Condensed Matter seminar: "Unusual Fluctuations and Absorbing States"

    David Rittenhouse Laboratory, A4

    Dov Levine, Technion – Israel Institute of Technology

    Absorbing state models are far-from-equilibrium many-body systems which exhibit a phase transition with characteristics similar to those of a continuous equilibrium transition.  One major difference, however, which we have recently discovered, is that as the critical point is approached, spatial particle fluctuations decrease, resulting in a hyperuniform distribution with long-range correlations.  The effects of noise on these results will be discussed as well.

  • Astro Seminar: "Cosmology Constrains the Standard Model and Beyond!

    David Rittenhouse Laboratory, A4

    Amol Upadhye (University of Wisconsin-Madison)

    Neutrinos are Standard Model particles whose mass splittings are known, but whose absolute mass scale remains a mystery.  Cosmology provides the best upper bound on the sum of masses, 0.23 eV, a number intriguingly close to the dark energy scale, and promises to measure the neutrino masses over the next decade.  I describe the effects of massive neutrinos and evolving dark energy on the power spectrum of large-scale structure.  Working in the framework of higher-order cosmological perturbation theory, I show that the power spectrum in a wide variety of dark energy mod

  • Fall Semester Physics and Mathematics Tutoring

    Education Commons 235

    Group tutoring sessions.



  • Postponed Physics & Astronomy Exam

    DRL A1

  • Dissertation Defense: "High Redshift Galaxies as Probes of the Epoch of Reionization"

    David Rittenhouse Laboratory, 3W2

    Jessie Taylor, UPenn

  • "From flowing complex fluids to multilayer networks of knotted nematic colloids”

    DRL A4

    Uros Tkalec, University of Maribor and Jozef Stefan Institute

  • Special Seminar - From viscous to elastic sheets: Dynamics of freely floating smectic films

    David Rittenhouse Laboratory - A4

    Kirsten Harth, Otto-von-Guericke Universität Magdeburg

    The dynamics of droplets and bubbles, particularly on microscopic scales, are of considerable importance in biological, environmental, and technical contexts. Soap bubbles, vesicles and components of biological cells are well known examples where the dynamic features are significantly influenced by the properties of thin membranes enclosed by fluids. Two-dimensional membrane motions couple to 3D shape transformations.