Past Events

  • Condensed Matter Seminar: "Advanced Electron Microscopy Approaches for Condensed Matter Research"

    David Rittenhouse Laboratory, A4

    Eric Stach (University of Pennsylvania)

    In the next year, the Singh Nanotechnology Center will install two new scanning transmission electron microscopes that will bring Penn’s capabilities in atomic scale materials characterization to a world leading level.  In this seminar, I will describe these capabilities using examples from my own research, from the literature and I will include the latest available results from the instrument manufacturers.  This seminar will be deliberately forward looking and is intended to inform the Penn Condensed Matter community of the full scope of capabilities so that they may pla


    DRL, A1


    Examinations that are postponed because of conflicts with other examinations, or because more than two examinations are scheduled in the same day, may be taken at another time during the final examinations period for if the faculty member and student can agree on that time. Otherwise, they must be taken during the official period for postponed examinations.

  • Dissertation Defense for Benjamin Elder: "Theoretical and Phenomenological Viability of Scalar Field Theories"

    DRL, Room 4N9

  • The 18th Mid-Atlantic Soft Matter Workshop

    The 18th Mid-Atlantic Soft Matter workshop event is open to all.


    To register, please visit and submit a title for a contributed soundbite (not required). Registration is free.


  • Advances in Biomedical Optics Seminar: "ROS Explicit Dosimetry for Photodynamic Therapy"

    CMROI Conference Room, B1 Stellar Chance Laboratories, 440 Curie Blvd

    Timothy Zhu (HUP)

    (Pizza will be served at 11:45 am)

  • Joint Cosmology & Particle Physics Meeting

    David Rittenhouse Laboratory, 4N12

    This year the annual joint cosmology and particle physics meeting with Columbia University and NYU will be hosted at the University of Pennsylvania on May 12, 2017.


  • Dissertation Defense: "Development of a Scintillation Detector and The Influence on Clinical Imaging"

    DRL 4N30

    Joseph Panetta (UPenn)

  • Math-Bio seminar: "Decoding of pairwise coalescent times and detection of recent adaptation in biobank-scale SNP array data sets"

    318 Carolyn Lynch Laboratory

    Pier Francesco Palamara (Harvard School of Public Health)

    Coalescent hidden Markov models (HMM) such as the pairwise sequentially Markovian coalescent (PSMC, Li and Durbin, 2010) enable estimating the locus-specific posterior distribution of the time to most recent common ancestor (TMRCA) of a pair of haploid chromosomes when high-coverage sequencing data is available. I will present the “ascertained sequentially Markovian coalescent” (ASMC), a coalescent HMM that can be used to accurately estimate locus-specific TMRCA probabilities in widely available SNP array data.

  • Condensed Matter Seminar: "Geometry, frustration and force production in bacterial biopolymers"

    David Rittenhouse Laboratory, A4

    Ajay Gopinathan (University of California, Merced)

    Filamentous biopolymers in bacteria are involved in a variety of critical processes including templating cell growth, segregating genetic material and force production during motility and cell division. In this talk, I will discuss how a few of these systems translate biopolymer structure at multiple scales into physical function. At the molecular scale, the filamentous bacterial protein FtsZ converts chemical energy into mechanical constriction during cell division, but without the aid of any motor proteins.

  • Math-Bio seminar: "Mutations, genetic identity, and data granularity"

    318 Carolyn Lynch Laboratory

    Jun Li (University of Michigan)

    I will talk about two studies where new insights are gained after we work on a different level of data granularity. First, in collaboration with Sebastian Zoellner we analyzed ~36 million extremely rare variants (defined as singletons in ~4,000 individuals) uniformly ascertained in an as yet unpublished whole-genome sequencing dataset. Our goal is to estimate mutation rate variation across the genome, and to identify genomic and sequence-based predictors of such variation.