Jon Krohn

Jon Krohn Jon Krohn is an influencer

New York, New York, United States
34K followers 500+ connections

About

On top of my work at Nebula, I'm an avid contributor to the data science community:
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Activity

Experience

  • Nebula.io Graphic

    Nebula.io

    New York, New York, United States

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    New York, New York, United States

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    New York, New York, United States

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    Singapore

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    Oxford, United Kingdom

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    Waterloo, Ontario

Education

  • University of Oxford Graphic

    University of Oxford

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    Activities and Societies: Founding Director of Oxford Entrepreneurs Incubation Centre, Social Secretary for Magdalen College Middle Common Room, Fullback for Magdalen College Football Club, Admiral of Magdalen's fleet of 16 recreational watercraft 🏴‍☠️

    As a Wellcome Trust Doctoral Scholar, I developed and applied machine learning models to identify patterns and causal pathways within high-dimensional genomic, neuroscientific, and behavioural data.

    Cited over a thousand times via authorship of 11 journal articles in high-impact publications, e.g., NeurIPS, Nature Genetics, Neurology, and PLOS ONE.

    Held a diverse range of leadership roles, the most significant being the Founding Director of the Oxford Entrepreneurs Incubation…

    As a Wellcome Trust Doctoral Scholar, I developed and applied machine learning models to identify patterns and causal pathways within high-dimensional genomic, neuroscientific, and behavioural data.

    Cited over a thousand times via authorship of 11 journal articles in high-impact publications, e.g., NeurIPS, Nature Genetics, Neurology, and PLOS ONE.

    Held a diverse range of leadership roles, the most significant being the Founding Director of the Oxford Entrepreneurs Incubation Centre. During my time running it, the OEIC served as a launch pad for several successful tech start-ups, including PlinkArt, the first British firm acquired by Google.

    In addition to generous funding from the Wellcome Trust, I am grateful to have received support as an Alexander Graham Bell Canada Graduate Scholar and as an Overseas Research Scholar.

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    GPA: 11.95 out of 12
    Rank: 1st of 2261 students university-wide

    Awarded a dozen scholarships for academics, leadership, and volunteerism, including the Governor General of Canada's Academic Medal and the university President's Scholarship.

    During my time there, Wilfrid Laurier University was consistently ranked as one of the top undergraduate institutions in Canada.

    Courses included:
    • Linear Algebra
    • Calculus
    • Statistics I to IV
    • Molecular Genetics
    •…

    GPA: 11.95 out of 12
    Rank: 1st of 2261 students university-wide

    Awarded a dozen scholarships for academics, leadership, and volunteerism, including the Governor General of Canada's Academic Medal and the university President's Scholarship.

    During my time there, Wilfrid Laurier University was consistently ranked as one of the top undergraduate institutions in Canada.

    Courses included:
    • Linear Algebra
    • Calculus
    • Statistics I to IV
    • Molecular Genetics
    • Genetic Analysis
    • Advanced Computational Genomics
    • Bioinformatics
    • Molecular Evolution
    • Sensory Processes & Perception
    • Neurobiology
    • Human Neuropsychology
    • Cognition
    • Reasoning & Argumentation
    • Choral Chamber Ensemble

Publications

Patents

  • Apparatus for Determining Role Fitness While Eliminating Unwanted Bias

    Issued US20230222409A1

    A multicore apparatus determines fitness of a candidate for a role. The apparatus includes a multicore system processing device, a plurality of parallel multicore graphics processing devices, a network interface device, a storage device, and a system interface bus. The network interface device provides remote connection to the multicore system processing device. The storage device stores training data including positive and negative examples. The positive examples represent candidates who would…

    A multicore apparatus determines fitness of a candidate for a role. The apparatus includes a multicore system processing device, a plurality of parallel multicore graphics processing devices, a network interface device, a storage device, and a system interface bus. The network interface device provides remote connection to the multicore system processing device. The storage device stores training data including positive and negative examples. The positive examples represent candidates who would be invited to an interview, and the negative examples represent candidates who would not be invited to an interview. The positive and negative examples are used by the plurality of parallel multicore graphics processing devices to train a deep learning model, which is used by the multicore system processing device to determine fitness of the candidate for the role while eliminating unwanted bias.

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