The Department of Bioengineering at the University of Pennsylvania along with Drs. Chamith Rajapakse and Felix Wehrli are pleased to announce the Doctoral Dissertation Defense of Brandon Jones. Title: "MRI Quantification of Cortical Bone Microstructure and Material Composition with Ultrashort Echo Time" Date: Wednesday, January 17th, 2024 Time: 11:00 AM Location: Donner-Grice Auditorium (HUP Dulles Building 2nd floor) Zoom […]
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ABSTRACT: As the sizes of Large Language Models (LLMs) continue to grow exponentially, it becomes imperative to explore novel computing paradigms that can address the dual challenge of scaling these models while adhering to constraints posed by compute and data resources. This presentation will delve into several strategies aimed at alleviating this dilemma: (1) refraining […] |
2 events,
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The Department of Bioengineering at the University of Pennsylvania and Dr. Ophir Shalem are pleased to announce the Doctoral Dissertation Defense of Saranya Santhosh Kumar. Title: Exploring the cell biology of neurodegenerative diseases at scale Date: January 18, 2024 Time: 10:00 am Location: HUB-01-1632 conference room The public is welcome to attend.
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Neuroscience datasets are expanding rapidly in both size and volume. However, integrating information across diverse datasets to form a unified understanding of brain function remains challenging. In this talk, I will discuss our initiatives to combine datasets from various tasks, brain regions, and species into a unified 'neurofoundation' model. This foundational model promises to enhance […] |
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1 event,
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The Department of Bioengineering at the University of Pennsylvania and Dr. Carl June are pleased to announce the Doctoral Dissertation Defense of David Mai. Date: January 22, 2024 Time: 1PM EST Title: Harnessing Regnase-1 and Roquin-1 activity to modulate T cell function Location: Arthur H Rubenstein Auditorium (https://www.itmat.upenn.edu/itmat/education-and-training/assets/user-content//documents/DirectionsSmilowCTRAuditorium.pdf) Zoom link The public is welcome to attend. |
1 event,
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One of the major challenges in robotics is controlling micromanipulation by active and adaptive materials. Existing delivery technologies often suffer from limited navigation control, low speeds, and proneness to environmental disturbances. Biology often solves these problems by collectively organizing actuation at the microscale. For example, pathogens are removed from our lungs by an active carpet […] |
2 events,
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ABSTRACT: We propose and demonstrate a novel approach to training image classification models based on large collections of images with limited labels. We take advantage of availability of radiology reports to construct joint multimodal embedding that serves as a basis for classification. We demonstrate the advantages of this approach in application to assessment of pulmonary […]
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Abstract: Immunotherapy has revolutionized the field of cancer treatment over the past two decades, though only a small fraction of patients treated will achieve complete remission. As such, new paradigms to overcome resistance to immunotherapies are urgently needed. My research seeks to tailor immunotherapies towards individual differences in immune systems and the inherent heterogeneity of […] |
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As 5G takes to the airwaves, we now turn our imagination to the next generation of wireless technology. The promise of this technology has created an international race to innovate, with significant investment by government as well as industry. And much innovation is needed as 6G aspires to not only support significantly higher data rates […] |
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This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT In the last few decades, most robotics success stories have been limited to structured or controlled environments. A major challenge is to develop robot systems that can operate in complex or unstructured environments corresponding to homes, dense traffic, […]
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This is a quick introduction to neural ODEs for scientific applications. The goal is to (a) provide a modelling tool that enhances the expressivity of existing theory-driven approaches, (b) demonstrate that neural ODEs are easy to use via modern autodifferentiable software, and (c) give enough of the tips-and-tricks needed to make neural ODEs work in […] |
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2 events,
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In this talk, I will share some insights and observations from our work on Atlas, the world's most dynamic humanoid robot. I'll talk about some of the core ideas—like model-predictive control (MPC)—that have made an impact for us, how learning is playing a larger role in how we design control systems at Boston Dynamics, and […]
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Protecting secrets within computer systems is a central mission of cryptography. Program obfuscation, which scrambles computer code without harming its functionality, is an immensely powerful and versatile tool for accomplishing this task that has been the subject of intense study in classical cryptography. Yet, the ability to obfuscate quantum computation had previously remained elusive to […] |
3 events,
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ABSTRACT: Machine learning has been increasingly deployed for high-stakes decisions that deeply impact people’s lives. My research focuses on developing interpretable algorithms and pipelines to ensure the safe and efficient utilization of machine learning models in the decision-making process. In this talk, I will introduce a new paradigm, called learning the Rashomon set, which finds and stores […]
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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. ABSTRACT Autonomous flying robots have become widespread in recent years, yet their capability to interact with the environment. remains limited. Moving in multiple fluids is one of the great challenges of mobile […]
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Abstract: In modern engineering, sustainability is a crucial aspect, especially in chemical and biological process systems. This concept has evolved to encompass a holistic approach, emphasizing not only the use of sustainable resources but also the development of systems that are environmentally friendly, smart, and efficient. Such systems aim to minimize waste and optimize resource […] |
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The brain is a powerful organ that regulates health and drives intelligence. How can we see more clearly into the working brain to understand it better? High-resolution optical microscopy has long been an ideal tool due to its spatial sub-micron precision and specificity. However, achieving the necessary spatio-temporal scale for further advancing our understanding of […] |
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This is a hybrid event with a VIRTUAL SPEAKER. There will be in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT This talk will describe progress in developing a universal theory of architectures for complex networks, motivated by and applied to aerospace, process control, internet, cyberphysical, ecosystems, multiscale physics, turbulence, biology, neuroscience, […]
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Many studies adopt low-resolution, coarse-grained (CG) models to investigate polymers, proteins, and other soft materials. These studies must first specify the details that are retained in the low-resolution model, i.e., they must specify the “CG representation.” Unfortunately, the “best” representation for complex systems is not always obvious. In this study, we systematically explore the space […] |
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