Luke Peng

Luke Peng

New York, New York, United States
21K followers 500+ connections

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About

Senior ad tech executive with 10+ years of experience spanning product management and…

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Activity

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Experience

  • Paramount Graphic

    Paramount

    New York, New York, United States

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    New York, NY

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    New York, NY

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    San Francisco, CA

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    San Francisco, CA

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    San Jose, CA

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    San Jose, CA

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    Irvine, CA

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    San Francisco, CA

Education

Volunteer Experience

Publications

  • Multiscale Modeling of Cell Populations and Intracellular Gene Regulatory Network

    Mathematical Biology Natural Sciences

    This paper systematically demonstrates the multiscale cell population balance model's development and evolution. Most importantly, it looks in depth at the applications of the model in terms of intracellular gene network regulations and cell mass control. First the analytical solution of the two dimensional system is derived. The WENO (Weighted Essentially Non-Oscillatory) scheme is adapted to approximate the flux terms in the model and combined with 3rd order Total Variation Diminishing…

    This paper systematically demonstrates the multiscale cell population balance model's development and evolution. Most importantly, it looks in depth at the applications of the model in terms of intracellular gene network regulations and cell mass control. First the analytical solution of the two dimensional system is derived. The WENO (Weighted Essentially Non-Oscillatory) scheme is adapted to approximate the flux terms in the model and combined with 3rd order Total Variation Diminishing Runge-Kutta for time evolution to provide numerically stable solutions with 3rd order of accuracy. A threshold-dependent differentiation model is developed to investigate the roles of critical genes such as c-Myc, Ovol1 and Ovol2 in controlling the differentiation and proliferation of cells in the epidermal system. Multiscale cell population models of intracellular gene network constructed from hyperbolic PDEs of up to 3 dimensions are studied thoroughly. By comparing the effects of periodic, single positive and double negative feedbacks on maintaining stable cell populations & homeostasis of the system, we can show the important role of such gene regulations. We demonstrate that robust size regulation can be achieved via means of a population level signal's regulation & cell mass control. Hysteresis in the network and the dynamics of growth and differentiation in the cell populations are also investigated. Furthermore, multiscale modeling of cell cycle control reveals that steady states of the system - the population distribution are sensitive to the competition and balance of the cell cycle and the intercellular gene network. These results can provide insight into the cause of uncontrolled proliferation and diseases including cancer. Combined with the experimental findings, we use the model to fill in gaps in our current biological knowledge and to provide an integrative view of the system.

    See publication

Courses

  • Entrepreneurship

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  • Machine Learning

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  • Macroeconomics

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  • Numerical Analysis

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  • Partial Differential Equations

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  • Statistical inference

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  • Time Series

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  • Topology

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Projects

  • InstantAct

    - Present

    A mobile app that allows users to report real-time incidents through a click of an icon. Instantly sends their geolocation and the type of incident to first responders. Uses peerjs (works with WebRTC) , Google maps, and At&t speech recognition. Won first place at AT&T Mobile App Hackathon: Public Safety.

    Other creators

  • Spacefreeze

    - Present

    - Peer to peer sustainable space including EV car parking sharing
    - Realtime, Geobased with dynamics best match bidding price algorithm
    - Best Judge's Award, BMW Sustainability Hackathon, Mountain View, 2013

    Other creators

  • KarFarm

    - Present

    - Reverse shopping bidding mechanism for automotive industry
    - Mobile front end developer, UI/UX design
    - Database and business growth insight

    See project

  • Recommendation Engine

    - Built effective recommendation engine to optimize consumer shopping experience

Honors & Awards

  • Fellowship for Outstanding Research Awards

    University of California, Irvine

    Fellowship for Outstanding Research Awards (Competitive), University of California, Irvine, 2006 – 2011

  • Impact Awards

    Wish

    Impact award for leading the growth of ProductBoost, the native ad platform on Wish.

  • Impact Award

    PayPal

    Outstanding impact award 2011

  • Distinguished Presentation Award

    The International Conference on Systems Biology

    Distinguished Presentation Award, The International Conference on Systems Biology, Edinburgh, UK, 2010

  • Winner of Research Opportunity Awards

    CALTECH


    Winner of Research Opportunity Awards, Center for Complex Biological Systems, Caltech, 2007

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