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Events for August 24, 2022

  • Women in STEM Virtual Career Fair (Virtual, External)

    Wed, Aug 24, 2022 @ 08:00 AM - 12:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Women in STEM Virtual Career Fair

    8am - 12pm

    Virtual / RSVP HERE: https://www.careereco.com/Fair/EventDetails?fairId=31526f32-6296-4b99-b9f1-aea901559809

    Vault / Firsthand is hosting a national career fair for Women in Stem in late August that is targeting students and candidates seeking internships, entry level roles and lateral opportunities.

    Companies such as Abbott, Trinity and Infosys, among many others, will be showcasing content in different virtual rooms, posting job opportunities and actively interacting with students and professionals.

    It is completely free for USC students to participate and a great way to get a jumpstart on learning about and securing internships or entry level employment early in the academic year.

    External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. Inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participants responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers

    Location: Virtual Platform

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Repeating EventNew & Continuing MS Student Group Advising Session (CSCI/DSCI)

    Wed, Aug 24, 2022 @ 10:00 AM - 11:00 AM

    Computer Science

    Workshops & Infosessions


    If you are a New or Continuing MS student in the Computer Science Department or Data Science Program and have any questions or need assistance, please join us for today's optional group advising session via zoom. Access instructions will be sent to students directly. Note: D-clearance is not granted during advisement sessions. All requests for d-clearance must go through the myViterbi portal.

    Location: Zoom

    Audiences: Graduate

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    Contact: USC Computer Science

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  • Computer Science General Faculty Meeting

    Wed, Aug 24, 2022 @ 12:00 PM - 02:00 PM

    Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526 - Hybrid

    Audiences: Invited Faculty Only

    Contact: Assistant to CS chair

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  • Repeating EventCS Undergraduate Live Chat Drop-in Advisement

    Wed, Aug 24, 2022 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    CS Advisors will be available on Tuesdays/Wednesdays/Thursdays this fall from 1:30pm to 2:30pm to assist undergraduates in our four majors (CSCI, CSBA, CSGA, and CECS) via Live Chat. Access the live chat through our website at https://cs.usc.edu/chat

    Location: Live Chat on Website

    Audiences: Undergrad

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    Contact: USC Computer Science

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  • Repeating EventNew & Continuing MS Student Group Advising Session (CSCI/DSCI)

    Wed, Aug 24, 2022 @ 03:30 PM - 04:30 PM

    Computer Science

    Workshops & Infosessions


    If you are a New or Continuing MS student in the Computer Science Department or Data Science Program and have any questions or need assistance, please join us for today's optional group advising session via zoom. Access instructions will be sent to students directly. Note: D-clearance is not granted during advisement sessions. All requests for d-clearance must go through the myViterbi portal.

    Location: Zoom

    Audiences: Graduate

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    Contact: USC Computer Science

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  • AME Seminar

    Wed, Aug 24, 2022 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Michaëlle N. Mayalu, Stanford University

    Talk Title: Control Theoretic Applications for Biomedical Therapeutics

    Abstract: The body uses feedback control strategies at intermolecular, intercellular and interorgan levels to maintain health and fight disease. Using mathematical models to understand and predict these control strategies gives insight into a wide array of biomedical applications ranging from engineered cell-based therapies to diet-based modulation of brain function.

    For engineered cell-based therapies, cooperative feedback control of cell population density is an integral part in many genetic designs. In this multicellular coordination problem, control action takes place on two levels: i) individual cells can activate or repress relevant genes, ii) cells can access the ensemble state of the entire population as obtained through diffusible signaling molecules. These genetically altered cells can provide new and improved functionalities and act as smart therapies to make decisions based on intercellular communication and the environment. However, previous population controller genetic designs are not robust to mutational invasions.

    For diet-based modulation of brain function, diet can initiate multiple interorgan feedback control systems that effect brain signaling and contribute to cognitive performance. Specifically, diet-mediated gut microbial signals influence nervous, immune, and bloodstream pathways which connect to memory function within the brain. It is desired to use diet to modulate gut microbiota as a novel therapy for maintaining cognitive performance. However, relationships between diet, changes in gut microbiota, activation of interorgan pathways, and alterations in brain signaling are not well understood.

    In this talk I present mathematical frameworks from an integrated control theoretic, computational biology and healthcare perspective that: i) characterize genetic designs for robust feedback control of cell population and ii) elucidate the connections between diet and cognitive performance. These modeling frameworks share the underlying structure where communication between agents contribute to the prediction of a collective response. In healthcare contexts, this allows for better understanding and manipulation of the connection between therapeutic targets and dominant patterns within the biological process. Using these models, we further analyze internal mechanisms, performance properties, and derive general design principles and functional relationships in the context of the aforementioned biomedical therapies.

    Biography: Michaelle N. Mayalu is an Assistant Professor of Mechanical Engineering. She received her Ph.D., M.S., and B.S., degrees in Mechanical Engineering at the Massachusetts Institute of Technology. She was a postdoctoral scholar at the California Institute of Technology in the Computing and Mathematical Sciences Department. She was a 2017 California Alliance Postdoctoral Fellowship Program recipient and a 2019 Burroughs Wellcome Fund Postdoctoral Enrichment Program award recipient.

    Dr. Michaëlle N. Mayalu's area of expertise is in mathematical modeling and control theory of synthetic biological and biomedical systems. She is interested in the development of control theoretic tools for understanding, controlling, and predicting biological function at the molecular, cellular, and organismal levels to optimize therapeutic intervention.

    She is the director of the Mayalu Lab whose research objective is to investigate how to optimize biomedical therapeutic designs using theoretical and computational approaches coupled with experiments. Initial project concepts include: i) theoretical and experimental design of bacterial "microrobots" for preemptive and targeted therapeutic intervention, ii) system-level multi-scale modeling of gut associated skin disorders for virtual evaluation and optimization of therapy, iii) theoretical and experimental design of "microrobotic" swarms of engineered bacteria with sophisticated centralized and decentralized control schemes to explore possible mechanisms of pattern formation. The experimental projects in the Mayalu Lab utilize established techniques borrowed from the field of synthetic biology to develop synthetic genetic circuits in E. coli to make bacterial "microrobots". Ultimately the Mayalu Lab aims to develop accurate and efficient modeling frameworks that incorporate computation, dynamical systems, and control theory that will become more widespread and impactful in the design of electro-mechanical and biological therapeutic machines.

    Website: https://mayalulab22.sites.stanford.edu/

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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