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DTSTART;TZID=America/New_York:20240226T140000
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DTSTAMP:20260403T174717
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SUMMARY:CBE Doctoral Dissertation Defense: "Synthesis of Enzyme-Powered Motors using Microfluidics" (Jessica O'Callaghan)
DESCRIPTION:Abstract: \n\n\n\nThis thesis addresses the fundamental questions surrounding the design and functional capabilities of enzyme-powered micromotors synthesized using microfluidic techniques. The research focuses on the development of these motors\, made from artificial cell (protocell) scaffolds\, and which seek to replicate the motion behavior of biological cells\, investigating their propulsion mechanisms\, motion directionality\, and collective behavior. The thesis first describes the development of a microfluidic platform for the synthesis of polymer and polymer-protein-based protocells. This platform enables precise control over the size\, composition\, and functional properties of the protocells\, demonstrating the versatility of microfluidics in the fabrication of complex microstructures. Next\, a novel approach to creating urease-powered micromotors using double emulsion-templated microcapsules is presented. The study explores how surfactants used in the emulsion assembly step that integrate themselves into the microcapsule structure can reliably lead to autonomous motion\, providing insights into the design principles that govern the efficiency of enzyme-powered motors prepared by droplet microfluidics. The thesis next investigates the directed motion of urease-powered motors in gradients of urea\, revealing how these motors can be directed away from high concentrations of substrate\, providing insights into how to control their motion in complex fluids. Finally\, the thesis explores interactions between enzyme-powered (active) and passive particles\, demonstrating how active particles influence the motion of passive ones. The findings of this dissertation significantly advance our understanding of enzyme-powered motors\, offering new strategies for their design and application. The use of microfluidic technology for the synthesis of these motors opens up new possibilities for the precise control of their properties\, paving the way for their use in a wide range of scientific and technological applications.
URL:https://seasevents.nmsdev7.com/event/cbe-doctoral-dissertation-defense-synthesis-of-enzyme-powered-motors-using-microfluidics-jessica-ocallaghan/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240226T180000
DTEND;TZID=America/New_York:20240226T190000
DTSTAMP:20260403T174717
CREATED:20240223T205636Z
LAST-MODIFIED:20240223T205636Z
UID:10007872-1708970400-1708974000@seasevents.nmsdev7.com
SUMMARY:PRECISE Seminar: Image Curation for AI in Ophthalmology
DESCRIPTION:This presentation will explore the critical process of curating medical imaging data for AI algorithm development in ophthalmology\, highlighting the challenges and current limitations in data curation. It will discuss benchmark datasets\, reference standards for FDA validation\, and innovative strategies to enhance data availability. Attendees will gain insights into best practices and future directions in image curation for advancing AI applications in eye care.
URL:https://seasevents.nmsdev7.com/event/precise-seminar-image-curation-for-ai-in-ophthalmology/
LOCATION:https://upenn.zoom.us/j/93008201901
ORGANIZER;CN="PRECISE":MAILTO:wng@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240227T100000
DTEND;TZID=America/New_York:20240227T103000
DTSTAMP:20260403T174717
CREATED:20240219T135815Z
LAST-MODIFIED:20240219T135815Z
UID:10007864-1709028000-1709029800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Harnessing Mechanobiology for Therapeutic Innovations: From Brain Tumors to Kidney Tissues"
DESCRIPTION:Engineered\, personalized tissues are transforming healthcare by accelerating clinical testing and serving as cell-based therapies. The emergence of induced pluripotent stem cells coupled with innovations in biomanufacturing and cellular engineering have rapidly advanced engineered tissue cellular and structural complexity. However\, generating functional\, mature tissues remains an enormous challenge. Control over biophysical forces governing development and disease is ultimately required to build functional tissue\, and engineered tissues can simultaneously illuminate opportunities to therapeutically modulate mechanical cues. In the first part of my talk\, I will explain how I leveraged hydrogel-based models to investigate cell-matrix interactions driving brain tumor cell invasion. While studies have traditionally focused on integrin-driven invasion\, this work elucidated how the transmembrane receptor CD44 directly contributes to cell motility in the brain and may represent an important therapeutic target. In the second part of my talk\, I will describe the biofabrication of a stem cell-derived kidney collecting duct on-chip. Collecting ducts are a major site for kidney disease and dysfunction\, and this on-chip model could serve as a platform to study flow-dependent function in patient-derived cells. Moreover\, I demonstrate that scalable organoid culture methods combined with bioprinting offers a promising approach to integrating these collecting ducts with biomanufactured kidney tissues. Moving forward\, the combination of stem-cell derived tissues and organoids with the ability to control mechanical cues establish a paradigm for investigating the mechanobiology of the urogenital tract\, with potential applications in kidney and reproductive health.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-harnessing-mechanobiology-for-therapeutic-innovations-from-brain-tumors-to-kidney-tissues/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240227T110000
DTEND;TZID=America/New_York:20240227T120000
DTSTAMP:20260403T174717
CREATED:20240201T135754Z
LAST-MODIFIED:20240201T135754Z
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SUMMARY:ESE & CIS Spring Seminar - "Towards Transparent Representation Learning"
DESCRIPTION:Machine learning models trained on vast amounts of data have achieved remarkable success across various applications. However\, they also pose new challenges and risks for deployment in real-world high-stakes domains. Decisions made by deep learning models are often difficult to interpret\, and the underlying mechanisms remain poorly understood. Given that deep learning models operate as black-boxes\, it is challenging to understand\, much less resolve\, various types of failures in current machine learning systems. \nIn this talk\, I will describe our work towards building transparent machine learning systems through the lens of representation learning. First\, I will present a white-box approach to understanding transformer models. I will show how to derive a family of mathematically interpretable transformer-like deep network architectures by maximizing the information gain of the learned representations. Furthermore\, I will demonstrate that the proposed interpretable transformer achieves competitive empirical performance on large-scale real-world datasets\, while learning more interpretable and structured representations than black-box transformers. Next\, I will present our work on training the first set of vision and vision-language foundation models with rigorous differential privacy guarantees\, and demonstrate the promise of high-utility differentially private representation learning. To conclude\, I will discuss future directions towards transparent and safe AI systems we can understand and trust.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-tbd-4/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240227T153000
DTEND;TZID=America/New_York:20240227T163000
DTSTAMP:20260403T174717
CREATED:20240214T151249Z
LAST-MODIFIED:20240214T151249Z
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SUMMARY:CIS Seminar: "Decision Making with Internet-Scale Knowledge"
DESCRIPTION:Machine learning models pretrained on internet data have acquired broad knowledge about the world but struggle to solve complex tasks that require extended reasoning and planning. Sequential decision making\, on the other hand\, has empowered AlphaGo’s superhuman performance\, but lacks visual\, language\, and physical knowledge about the world. In this talk\, I will present my research towards enabling decision making with internet-scale knowledge. First\, I will illustrate how language models and video generation are unified interfaces that can integrate internet knowledge and represent diverse tasks\, enabling the creation of a generative simulator to support real-world decision-making. Second\, I will discuss my work on designing decision making algorithms that are compatible with generative language and video models as agents and environments. Combining pretrained language and video models with decision making algorithms can effectively solve a wide range of tasks such as developing chatbots\, learning robot policies\, and discovering novel materials
URL:https://seasevents.nmsdev7.com/event/cis-seminar-decision-making-with-internet-scale-knowledge/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240228T120000
DTEND;TZID=America/New_York:20240228T131500
DTSTAMP:20260403T174717
CREATED:20230928T142435Z
LAST-MODIFIED:20230928T142435Z
UID:10007714-1709121600-1709126100@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Large Language Models in Medicine: Opportunities and Challenges" (Mark Dredze\, Johns Hopkins University)
DESCRIPTION:ABSTRACT: \nThe rapid advance of AI driven by Large Language Models (LLMs)\, like ChatGPT\, has led to impressive results across a range of different use cases. This has included several models developed for the medical domain which have exhibited surprising behaviors\, such as answering medical questions and performing well on medical licensing exams. These results have demonstrated the coming transformation of medicine by AI. In this talk\, I will provide an overview of some of the recent advances in this area\, and discuss challenges and opportunities for the use of these models in medicine. \n  \nZOOM LINK (if unable to attend in-person): https://upenn.zoom.us/j/99469144782 \n 
URL:https://seasevents.nmsdev7.com/event/asset-seminar-mark-dredze-johns-hopkins-university/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240228T150000
DTEND;TZID=America/New_York:20240228T160000
DTSTAMP:20260403T174717
CREATED:20240219T220421Z
LAST-MODIFIED:20240219T220421Z
UID:10007866-1709132400-1709136000@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP SFI: Spring Berman\, Arizona State University\, "Scalable Control of Distributed Robotic Systems for Environmental Sensing and Interaction"
DESCRIPTION:This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. This week’s speaker will be virtual. \nABSTRACT\nVarious applications for autonomous multi-robot systems\, such as disaster response\, infrastructure repair\, agricultural operations\, contaminant cleanup\, and wildfire suppression\, will require these systems to act as distributed sensors\, sources\, and manipulators in uncertain environments\, often without global localization or extensive inter-robot communication. This talk will present dynamical model-based approaches to controlling mobile robot collectives and soft modular robots that operate under such constraints using local sensing and local or no communication. By applying feedback control and optimization techniques to models that describe the dynamics of a continuous abstraction of the system and its individually controllable components\, including their stochastic behaviors\, scalable control strategies can be designed for a variety of objectives. This talk will discuss strategies for the particular objectives of mapping and control of scalar environmental fields by robotic swarms\, cooperative object transport by groups of mobile robots\, and reconfiguration of multi-segment continuum robots. The control strategies are illustrated in numerical and physics-based simulations and in experiments with robotic hardware.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-sfi-spring-berman/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240228T153000
DTEND;TZID=America/New_York:20240228T163000
DTSTAMP:20260403T174717
CREATED:20240116T181347Z
LAST-MODIFIED:20240116T181347Z
UID:10007809-1709134200-1709137800@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Deep Learning-Enabled Design of Functional DNA-Binding Properties" (Cameron Glasscock\, University of Washington)
DESCRIPTION:Abstract\nDNA-binding proteins (DBPs) play critical roles in biology and biotechnology\, and there has been considerable interest in the engineering of DBPs with new functions or altered specificities. While there has been success in reprogramming and the specificity of naturally occurring DBPs using selection methods\, the computational design of new DBPs that engage with DNA remains an outstanding challenge. Addressing this challenge would lead to new solutions for programmable recognition and manipulation of DNA sequence and structure; and ultimately enable new possibilities for synthetic gene regulation\, DNA-modifying enzymes\, and many other applications. In this talk\, I will describe the development and experimental validation of a computational method for the design of small DBPs that recognize specific target sequences through interactions with bases in the major groove. I will then describe progress towards a generalizable framework for deep-learning enabled design of custom DNA-binding proteins. I will conclude by summarizing my view of the future prospects for this new framework.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-deep-learning-enabled-design-of-functional-dna-binding-properties-cameron-glasscock-university-of-washington/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240229T103000
DTEND;TZID=America/New_York:20240229T120000
DTSTAMP:20260403T174717
CREATED:20240214T182354Z
LAST-MODIFIED:20240214T182354Z
UID:10007859-1709202600-1709208000@seasevents.nmsdev7.com
SUMMARY:MSE SEMINAR "Scalable Classical and Quantum Light Sources"
DESCRIPTION:Classical and quantum light sources play a fundamental role in science and technology from quantum computing\, to communications\, manufacturing\, defense\, sensing\, medicine\, or imaging. However\, scaling the power of lasers has always come at the cost of single mode operation\, a scaling question that has been investigated\, without success\, since the invention of lasers in 1958. In the first part of the talk\, I will propose a solution to this question and discuss a “scale-invariant” laser that remains single mode irrespective of its cavity size. I will show that the discovered strategy\, named Berkeley Surface Emitting Laser (BerkSEL)\, goes beyond the Schawlow-Townes two-mirror strategy that is used by all existing lasers. I will conclude that mirrors are bad for the scaling of lasers [1]. I will also briefly discuss topological lasers that my group pioneered [2-4]. In the second part of the talk\, I will discuss a scalable quantum optics platform fully based on silicon with potential applications in future quantum networks [5]. \nReferences.\n1- R. Contractor\, W. Noh\, W. Redjem\, W. Qarony\, E. Martin\, S. Dhuey\, A. Schwartzberg\, and B. Kanté\, “Scalable single-mode\nsurface emitting laser via open-Dirac singularities\,” Nature 608\, 692–698 (2022).\n2- B. Bahari\, A. Ndao\, F. Vallini\, A. El Amili\, Y. Fainman\, B. Kanté\, “Nonreciprocal lasing in topological cavities of arbitrary\ngeometries\,” Science 358\, 636-640 (2017).\n3- B. Bahari\, L. Hsu\, S. H. Pan\, D. Preece\, A. Ndao\, A. El Amili\, Y. Fainman\, and B. Kanté\, “Photonic quantum Hall effect and\nmultiplexed light sources of large orbital angular momenta\,” Nature Physics 17\, 700–703 (2021).\n4- A. Kodigala\, T. Lepetit\, Q. Gu\, B. Bahari\, Y. Fainman\, and B. Kanté\, “Lasing Action from Photonic Bound States in\nContinuum\,” Nature 541\, 196 – 199 (2017).\n5- W. Redjem\, Y. Zhiyenbayev\, W. Qarony\, V. Ivanov\, C. Papapanos\, W. Liu\, J. Jhuria\, Z. Y. Al Balushi\, S. Dhuey\, A.\nSchwartzberg\, L. Z. Tan\, T. Schenkel\, and B. Kanté\, “All-silicon quantum light source by embedding an atomic emissive center\nin a nanophotonic cavity\,” Nature Communications 14\, 3321 (2023).
URL:https://seasevents.nmsdev7.com/event/mse-seminar-scalable-classical-and-quantum-light-sources/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240229T110000
DTEND;TZID=America/New_York:20240229T120000
DTSTAMP:20260403T174717
CREATED:20240201T140107Z
LAST-MODIFIED:20240201T140107Z
UID:10007841-1709204400-1709208000@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "Structuring light to reveal the invisible"
DESCRIPTION:From quantum physics to cosmology\, researchers aim to see things which are typically invisible – be it the entanglement of two particles or infrared signatures from space. In these and various other fields\, we are confronted by a common challenge: What we can see with our own eyes or observe using standard optical imaging systems is limited to a small fraction of the information that the detected light actually carries. Two-dimensional (2D)\, flat images\, such as a photo\, only reveal the intensity and visible color of the light coming to us from an optical scene. However\, light contains a wealth of information on the three-dimensional (3D) position\, angle of incidence\, spectral content\, amplitude\, phase\, polarization\, optical angular momenta\, and coherence\, amongst others. In fact\, if light interacts with media\, nature will give us structured light that is spatially varying in the named properties in a fashion that depends on the interaction. In this talk\, I will present how we can use these kinds of structured light fields to extract information from an optical scene and\, vice versa\, how structured light can serve as an excitation or probing tool to gain access to usually invisible information. In this context\, we will explore “optical vortices” in phase and polarization\, their generation\, and application. Moreover\, we will gain insights into the nanoscale and quantum features of structured light and its leading role for next-generation imaging and sensing techniques.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-tbd-5/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240229T153000
DTEND;TZID=America/New_York:20240229T163000
DTSTAMP:20260403T174717
CREATED:20240108T171827Z
LAST-MODIFIED:20240108T171827Z
UID:10007795-1709220600-1709224200@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Systems Immunology Approaches for Tissue Repair and Regeneration" (Andres Munoz-Rojas\, Harvard)
DESCRIPTION:The immune system uses a complex network of interacting cells that work together to regulate tissue physiology\, homeostasis\, and repair. In muscle\, a tightly coordinated network of immunocytes and mesenchymal stromal cells (MSCs) is required for adequate skeletal muscle repair after acute injury or disease. Regulatory T cells (Tregs) are important players in regulating excessive inflammation and potentiating regeneration\, but the extent of intercellular communications underlying their functions remains poorly understood. In this seminar\, I will discuss my efforts in developing systems immunology approaches to dissect the dynamic communication networks between muscle Tregs and MSCs in a time-resolved study of skeletal muscle injury. Bringing together tools from single-cell and computational biology\, engineering\, and immunology\, we uncovered distinct communication pathways important for the recruitment and induction of regenerative Tregs and the potentiation of muscle repair. This work identifies novel regulatory pathways that can inform therapeutic approaches for muscle-related pathologies.
URL:https://seasevents.nmsdev7.com/event/be-seminar-andres-munoz-rojas-harvard/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240229T153000
DTEND;TZID=America/New_York:20240229T163000
DTSTAMP:20260403T174717
CREATED:20240209T134617Z
LAST-MODIFIED:20240209T134617Z
UID:10007854-1709220600-1709224200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: " Secure systems from insecure components"
DESCRIPTION:In many computer systems today\, an attacker that breaks one system component can steal data from millions of users. In this talk\, I will present three systems that can withstand component compromise. I will describe (1) a single sign-on system that protects user security and privacy from a compromised single sign-on server\, (2) a secure-hardware-based backup service that protects user backups from compromised secure hardware devices\, and (3) a web search engine that protects user queries from a compromised search engine. These systems provide strong security and privacy properties while taking into account practical constraints such as compatibility requirements\, hardware limitations\, and user expectations. Each splits user secrets across different system components\, using new cryptographic tools to provide necessary functionality while protecting user data.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-secure-systems-from-insecure-components/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240301T103000
DTEND;TZID=America/New_York:20240301T114500
DTSTAMP:20260403T174717
CREATED:20240103T193132Z
LAST-MODIFIED:20240103T193132Z
UID:10007785-1709289000-1709293500@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP on Robotics: Leonidas Guibas\, Stanford University\, “Compositional Modeling of 3D Objects and Scenes”
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. This seminar will NOT be recorded. \nABSTRACT\nModeling 3D objects and scenes creates many challenges\, both on the analysis and the synthesis sides. The focus of this talk is the compositional structure of objects (into parts) and of scenes (into objects) — and how such structure informs the modeling of 3D geometry\, affordances\, and functionality. We discuss a number of neural representations for 3D objects and scenes that are\, or can be made to be\, structure aware\, enabling more efficient reconstruction as well as the creation of variations\, both discrete and continuous. The talk will cover recent historical developments of modeling ideas through works that address how to leverage 2D and 3D sensor data (static or dynamic)\, direct human annotations on 2D images or 3D models\, free-form language utterances\, and finally physical simulation\, all towards learning and exploiting this compositional structure for applications ranging from 3D content creation to robotic manipulation.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-on-robotics-leonidas-guibas-stanford-university-compositional-modeling-of-3d-objects-and-scenes/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240301T160000
DTEND;TZID=America/New_York:20240301T173000
DTSTAMP:20260403T174717
CREATED:20240216T194446Z
LAST-MODIFIED:20240216T194446Z
UID:10007863-1709308800-1709314200@seasevents.nmsdev7.com
SUMMARY:Research Impact Seminar - Bring Your Research Out of the Lab (Penn Engineering Entrepreneurship)
DESCRIPTION:Learn how to commercialize your research and navigate Penn’s innovation ecosystem with Penn Engineering: Entrepreneurship. This is the first part of a series from Penn Engineering’s Entrepreneurship group. \nFeaturing: \nAndrew Tsourkas\, Professor of Bioengineering\, Co-Founder\, AlphaThera\, Inc\, Co-Founder\, StreamLaunch\, Llc \nand \nJeffrey Babin\, Professor of Practice and Associate Director of Entrepreneurship at Penn Engineering & Engineering Faculty Director for Venture Lab. \nRefreshments will be provided. \nWho: Faculty\, Post-Docs\, and PhD students\nWhere: Towne 327 \nWhen: 4-5:30 pm\, Friday March 1\, 2024 \nAdd to calendar: Apple | Google | Office 365 | Outlook | Outlook.com | Yahoo \nRSVP here (not required) \nThis session provides an introduction to the innovation and entrepreneurship process. In addition to reviewing key considerations for exploring opportunities for research beyond publication\, we will discuss alternative approaches to increasing the impact and value of research. Faculty and practitioners will review commercialization\, licensing\, and venture creation based on technological innovation.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-entrepreneurship-panel/
LOCATION:Towne 327
CATEGORIES:Seminar,Faculty,Doctoral,Graduate,Student,Panel Discussion,Postdoctoral
ORGANIZER;CN="Penn Engineering Entrepreneurship":MAILTO:sevile@seas.upenn.edu
END:VEVENT
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