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DTSTART;TZID=America/New_York:20200210T120000
DTEND;TZID=America/New_York:20200210T130000
DTSTAMP:20260408T073745
CREATED:20200109T172158Z
LAST-MODIFIED:20200109T172158Z
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SUMMARY:PSOC Seminar : “ Programming bacteria as a cancer therapy”
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/psoc-seminar-programming-bacteria-as-a-cancer-therapy/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200210T150000
DTEND;TZID=America/New_York:20200210T160000
DTSTAMP:20260408T073745
CREATED:20191220T195149Z
LAST-MODIFIED:20191220T195149Z
UID:10006358-1581346800-1581350400@seasevents.nmsdev7.com
SUMMARY:CBE Faculty Candidate Seminar: "Facilitating Chemical Process Development Using Theoretical Modeling and Machine Learning"
DESCRIPTION:Abstract: \nComputational modeling is an important tool to aid chemical process development. Theoretical and data-driven models can be applied both for the optimization of specific processes\, and for the initial screening of potential process chemistries. I will talk about my research in advancing both of these areas. First\, I will introduce the development of an efficient kinetic Monte Carlo simulation to facilitate property optimization of polymer materials. The algorithm predicts the explicit sequence distribution of the polymer chains and can be used to design reaction recipe for desired molecular weight and sequence properties of synthetic polymers. Second\, I will discuss the use of machine learning in the context of organic synthesis planning. Specifically\, I developed an algorithm capable of efficiently and accurately recommending reaction conditions\, including catalysts\, solvents\, reagents and temperature\, for organic synthesis development. I will also demonstrate how we can leverage this information to optimize synthesis plans for individual molecules or molecular libraries.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-facilitating-chemical-process-development-using-theoretical-modeling-and-machine-learning/
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:20200211T103000
DTEND;TZID=America/New_York:20200211T120000
DTSTAMP:20260408T073745
CREATED:20200108T213156Z
LAST-MODIFIED:20200108T213156Z
UID:10006362-1581417000-1581422400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Recent Evolution of Climate Science: From Greenhouse Gases and Temperature to Aerosol Particles and Precipitation"
DESCRIPTION:On the eve of the Intergovermental Panel on Climate Change (IPCC) Sixth Assessment Report\, I will present a brief overview of how climate science has evolved since the publication of the Charney Report in 1979\, and use a few examples from my recent work to show how one can use numerical models\, observations and theories to advance the fundamental understanding of Earth’s climate system.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-recent-evolution-of-climate-science-from-greenhouse-gases-and-temperature-to-aerosol-particles-and-precipitation/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200211T110000
DTEND;TZID=America/New_York:20200211T120000
DTSTAMP:20260408T073745
CREATED:20200206T180607Z
LAST-MODIFIED:20200206T180607Z
UID:10006400-1581418800-1581422400@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Large-Scale Quantum Photonic Processors"
DESCRIPTION:Abstract\nPhotons play a central role in many areas of quantum information science\, either as qubit themselves or to mediate interactions between long-lived matter based qubits. Techniques for (1) high-fidelity generation\, (2) precise manipulation and (3) ultra-efficient detection of quantum states of light are therefore a prerequisite for virtually all quantum technologies. A quantum photonic processor is the union of these three core technologies into a single system\, and\, bolstered by advances in integrated photonics\, promises to be a versatile platform for quantum information science. In this talk we present recent progress towards large-scale quantum photonic processors and demonstrate how such systems enable new applications at the nexus of quantum mechanics and machine learning.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-large-scale-quantum-photonic-processors/
LOCATION:Room 337\, 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:20200211T150000
DTEND;TZID=America/New_York:20200211T160000
DTSTAMP:20260408T073745
CREATED:20200205T174219Z
LAST-MODIFIED:20200205T174219Z
UID:10006399-1581433200-1581436800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: Rethinking Operating System and Hardware Abstractions for Good and Evil
DESCRIPTION:Abstract:\n\nCurrent hardware and operating system abstractions were conceived at a time when we had minimal security threats\, scarce compute and memory resources\, and limited numbers of users. These assumptions are not true today. On one hand\, attacks such as Spectre and Meltdown have shown that current hardware is plagued by vulnerabilities. On the other hand\, new emerging cloud paradigms like microservices and serverless computing have led to the sharing of computing resources among hundreds of users at a time. In this new era of computing\, we can no longer afford to build each layer separately. Instead\, we have to rethink the synergy between the operating system and hardware from the ground up.\n\nIn this talk\, I will focus on rethinking the virtual memory abstraction. First\, I will introduce Microarchitectural Replay Attacks\, a novel family of side-channel attacks that exploit existing virtual memory mechanisms. These attacks leverage the fact that\, in modern out-of-order processors\, a single dynamic instruction can be forced to execute many times. Then\, I will describe Elastic Cuckoo Page Tables\, my proposal to rebuild the virtual memory abstraction for parallelism. Finally\, I will conclude by describing ongoing and future directions towards redesigning the hardware and the operating system layers.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-rethinking-operating-system-and-hardware-abstractions-for-good-and-evil/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200212T150000
DTEND;TZID=America/New_York:20200212T160000
DTSTAMP:20260408T073745
CREATED:20191219T202706Z
LAST-MODIFIED:20191219T202706Z
UID:10006352-1581519600-1581523200@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "A Case for Carbon Dioxide Removal from Air"
DESCRIPTION:Abstract: \nAs a global society\, we have been burning fossil fuels to meet our energy and transportation needs since the start of the industrial revolution. This has resulted in atmospheric CO2 concentrations much greater than at any other time during the last 650\,000 years. That concentration reached a record 415 parts per million in May 2019. The replacement of fossil fuels with renewables\, advances in energy efficiency\, and carbon capture and storage are among the key strategies required to prevent warming beyond 2°C within this century. But they will not be enough. We need to ramp up our efforts in reducing CO2 emissions\, and then we need to do even more. The Earth’s natural systems\, such as forests and oceans\, are capable of removing roughly half of global CO2 emissions each year\, while the rest steadily accumulates in the atmosphere. Until now\, our best approach to avoiding the worst impacts of climate change was simply to avoid such emissions in the first place. But because of our failure to act quickly and at a large enough scale\, we are now faced with the need to go beyond that strategy—to actually start removing CO2 directly from the air. Trees and oceans already do this\, but these systems are overwhelmed. Manufactured or synthetic removal systems are designed to pull CO2 from the atmosphere\, and at a much faster rate than natural systems. This talk will review both the promise and pitfalls of this approach.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-a-case-for-carbon-dioxide-removal-from-air/
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:20200213T104500
DTEND;TZID=America/New_York:20200213T114500
DTSTAMP:20260408T073745
CREATED:20200207T155517Z
LAST-MODIFIED:20200207T155517Z
UID:10006402-1581590700-1581594300@seasevents.nmsdev7.com
SUMMARY:MSE Faculty Candidate Seminar: “Engineering non-equilibrium structure and functionality in complex solids”
DESCRIPTION:Unique macroscopic phenomena\, such as high-temperature superconductivity and colossal magnetoresistance\, emerge in many complex solids due to the interplay between their electronic\, magnetic\, and structural degrees of freedom. This interplay also results in properties that can be tuned by manipulating their atomic structure and symmetry. In this talk\, Dr. Disa will discuss two complementary “non-equilibrium” pathways for inducing and influencing functionalities of complex oxides: atomic layer engineering and optical lattice control. \nFirst\, Dr. Disa will describe the control of electronic structure and transport properties of complex oxides through atomically-precise control of dimensionality and interfacial structure using molecular beam epitaxy. Specifically\, he will show how picoscale engineering of atomic distortions is used to design the conductivity and the orbital configuration in rare-earth nickelates. Second\, he will show that resonantly driving optical phonons with terahertz-frequency pulses allows one to engineer structural distortions dynamically\, thus providing a pathway to control electronic and magnetic behavior on ultrafast time scales and even beyond statically possible. Dr. Disa will focus on a recent experiment demonstrating the formation of a metastable ferroelectric state in the common substrate material SrTiO3\, which has a polarization that persists for hours after the optical excitation. \nThese approaches can work in tandem to enable the rational design of non-equilibrium functional properties in complex solids\, which can be exploited for novel\, high-speed optoelectronic and optomagnetic technologies.
URL:https://seasevents.nmsdev7.com/event/mse-faculty-candidate-seminar-engineering-non-equilibrium-structure-and-functionality-in-complex-solids/
LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200213T110000
DTEND;TZID=America/New_York:20200213T120000
DTSTAMP:20260408T073745
CREATED:20200206T221336Z
LAST-MODIFIED:20200206T221336Z
UID:10006401-1581591600-1581595200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Adapting black-box machine learning methods for causal inference"
DESCRIPTION:Abstract: I’ll discuss the use of observational data to estimate the causal effect of a treatment on an outcome. This task is complicated by the presence of ‘confounders’ that influence both treatment and outcome\, inducing observed associations that are not causal. Causal estimation is achieved by adjusting for this confounding by using observed covariate information. I’ll discuss the case where we observe covariates that carry sufficient information for the adjustment\, but where explicit models relating treatment\, outcome\, covariates\, and confounding are not available. For example\, in medical data the covariates might consist of a large number of convenience health measurements of which only an unknown subset are relevant\, and even then in some totally unknown manner. Or\, the covariates might be a passage of (natural language) text that describes the relevant information. I’ll describe an approach that adapts deep learning and embedding methods to produce representations of the covariate information targeted toward the causal adjustment problem. In particular\, I’ll describe how to modify standard architectures and training objectives to achieve statistically efficient and practically useful causal estimates.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-adapting-black-box-machine-learning-methods-for-causal-inference/
LOCATION:Room 337\, 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:20200213T120000
DTEND;TZID=America/New_York:20200213T130000
DTSTAMP:20260408T073745
CREATED:20200109T164002Z
LAST-MODIFIED:20200109T164002Z
UID:10006368-1581595200-1581598800@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Repurposing bacterial two-component systems as sensors for synthetic biology applications "
DESCRIPTION:Two-component systems (TCSs) are the largest family of signal transduction pathways in biology\, and a treasure trove of biosensors for engineering applications. Though present in plants and other eukaryotes\, TCSs are ubiquitous in bacteria. Bacteria use TCSs to sense everything from metal ions to carbohydrates and light\, and activate responses such as biofilm formation\, antibiotic-resistance\, and virulence. Despite their importance\, the vast majority of TCSs remain uncharacterized. The major challenges are that most bacteria cannot be cultured nor genetically manipulated in the laboratory\, and that many TCSs are silenced by poorly-understood gene regulatory networks in laboratory conditions. We have recently developed synthetic biology technologies to address these challenges. In particular\, we have developed dual inducible promoter systems that allow us simultaneously express both TCS proteins to optimal levels in the model Gram-negative and Gram-positive bacteria E. coli and B. subtilis. In addition\, we have developed a method to modularly interchange the DNA-binding domains of response regulator proteins\, enabling unknown or silent TCS output promoters to be replaced with well-characterized alternatives. Finally\, we have developed a method to rationally tune the amount of input signal required to activate a TCS over several orders of magnitude by introducing mutations that specifically alter the intrinsic phosphatase activity of the sensor histidine kinase protein. Using these methods\, we have repurposed cyanobacterial TCSs to function as optogenetic tools with wavelength specificities from the ultraviolet (380 nm) to the near infrared (770 nm)\, engineered gut bacteria that diagnose colon inflammation in mice\, and discovered a novel pH-sensing TCS in the genome of Yersinia pestis\, the causative agent of bubonic plague. Additionally\, we have constructed a library of >500 uncharacterized TCSs from the human gut microbiome\, which we are screening for novel sensors of gut metabolites and diseases in humans. Finally\, we are using our methods to develop new anti-virulence compounds that inhibit TCSs that regulate pathogenesis in major human pathogens. Our work is accelerating fundamental microbiological discoveries and has broad applications in synthetic biology.
URL:https://seasevents.nmsdev7.com/event/be-seminar-title-tbc-4/
LOCATION:Room 337\, 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:20200213T150000
DTEND;TZID=America/New_York:20200213T160000
DTSTAMP:20260408T073745
CREATED:20200211T212333Z
LAST-MODIFIED:20200211T212333Z
UID:10006406-1581606000-1581609600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: “User Generated Content: Opportunities to Inform Healthcare”
DESCRIPTION:Abstract \nWhen individuals post to social media or use wearable devices\, data generated through these everyday interactions with technology reveal a great deal about behaviors that influence health in ways that were previously not observable. In my work\, I seek to leverage this data to characterize and measure the naturalistic manifestations a.k.a digital phenotyping of mental and physical health. \nIn this talk\, we will look at a) uncovering linguistic markers of ADHD using self-declared statuses on Twitter\, b) scaling language-based user-level questionnaire-estimated psychological stress predictions to communities\, and c) forecasting healthcare utilization as documented in the medical records of a sample of patients using their Facebook posts. Across these studies\, I argue that user generated data is a source of collateral information that can augment clinical practice and potentially guide interventions.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-user-generated-content-opportunities-to-inform-healthcare/
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
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