PSOC Webinar: Kuangzheng (Peter) Zhu

https://upenn.zoom.us/j/96715197752

Zoom Meeting Waiting Room (email discher@seas for entry) https://upenn.zoom.us/j/95100409935?pwd=aGZjdkpYd3V4UU1qMkU5S1RiY3QvUT09 Meeting ID: 951 0040 9935 Passcode: 330227 PSOC@Penn Summer Webinars 2021 Contact manu@seas.upenn.edu with any questions

ODEI Spotlight: SAC Fall Activities Fair

This is an opportunity to get to know more about the many undergraduate student organizations that exist at Penn. In addition to the in-person events being hosted 8/31-9/2, groups will be available to connect virtually from 6-8pm these same days via PennClubs.com.

ODEI Spotlight: SAC Fall Activities Fair Day 2

This is an opportunity to get to know more about the many undergraduate student organizations that exist at Penn. In addition to the in-person events being hosted 8/31-9/2 on College Green, groups will be available to connect virtually from 6-8pm these same days via PennClubs.com.

BE Doctoral Dissertation: “Adaptation of Maternal Skeletal Mechano-responsiveness, Osteocyte Microenvironment, and Bone Marrow Adipocytes in Response to Reproduction and Lactation” (Yihan Li)

https://upenn.zoom.us/j/96715197752

The Department of Bioengineering at the University of Pennsylvania and Dr. X. Sherry Liu are pleased to announce the Doctoral Dissertation Defense of Yihan Li. Title: "Adaptation of Maternal Skeletal Mechano-responsiveness, Osteocyte Microenvironment, and Bone Marrow Adipocytes in Response to Reproduction and Lactation" Date: September 1, 2021 Time: 1:00 PM The public is welcome to […]

ODEI Spotlight: SAC Fall Activities Fair Day 3

This is an opportunity to get to know more about the many undergraduate student organizations that exist at Penn. In addition to the in-person events being hosted 8/31-9/2 on College Green, groups will be available to connect virtually from 6-8pm these same days via PennClubs.com.

BE Doctoral Dissertation: “From ‘-omics’ to biomarkers and mechanisms in Parkinson’s disease: Growth hormone receptor and GPNMB” (Maria E. Diaz Ortiz)

https://upenn.zoom.us/j/96715197752

The Department of Bioengineering at the University of Pennsylvania and Dr. Alice S. Chen-Plotkin are pleased to announce the Doctoral Dissertation Defense of Maria E. Diaz Ortiz.   Title: From '-omics' to biomarkers and mechanisms in Parkinson's disease: Growth hormone receptor and GPNMB Date/Time: Thursday, September 2nd from 1-2 PM EST Zoom Link: https://us02web.zoom.us/j/83054658861?pwd=NWVIUWI5TjMxQ1dxSm9aSTVWZ1hldz09

BE Seminar: “Synthetic Biochemistry: Engineering Molecules and Pathways for Precision Medicine” (Michael Lin)

Moore 216 200 S. 33rd Street, Philadelphia, PA, United States

Update 9/2/21: Unfortunately due to the flooding in Philadelphia we will not be able to hold this seminar on campus. Check your email for the zoom link or contact ksas@seas.upenn.edu. The most effective medicines are those that target the earliest causes of disease, rather than later manifestations. Engineering of biomolecules is a promising but underexplored […]

MEAM Seminar: “The Role of Manipulation Primitives in Building Dexterous Robotic Systems”

Zoom - Email MEAM for Link peterlit@seas.upenn.edu

In this talk I will illustrate four different perspectives that we as a community have embraced to study robotic manipulation: 1) controlling a simplified model of the mechanics of interaction with an object; 2) using haptic feedback such as force or tactile to control the interaction with an environment; 3) planning sequences or trajectories of […]

CBE Seminar: “No Equations, No Variables, No Space, No Time: Data and the Modeling of Complex Systems”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Abstract Obtaining predictive dynamical equations from data lies at the heart of science and engineering modeling, and is the linchpin of our technology. In mathematical modeling, one typically progresses from observations of the world (and some serious thinking!) first to equations for a model, and then to the analysis of the model to make predictions. […]