Robert Ross

Robert Ross

New York, New York, United States
7K followers 500+ connections

About

Helping companies automate data mapping using AI. Backed by General Catalyst, Khosla…

Experience

  • Lume (YC W23) Graphic

    Lume (YC W23)

    San Francisco Bay Area

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    New York, United States

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    Stanford, California, United States

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    Stanford, California, United States

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    Stanford, California, United States

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    Mountain View, California, United States

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    Stanford, California, United States

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    Greater New York City Area

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    Stanford, California, United States

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    Greater New York City Area

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    Stanford, California, United States

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    Palo Alto, California

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    Stanford, California, United States

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    Palo Alto, California

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    Stanford, CA

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    Greater Atlanta Area

Education

  • Stanford University Graphic
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    Activities and Societies: National Honor Society(President), Mu Alpha Theta(President), Beta Club(President), Speech and Debate(President), Chess club(Co-founder & President), Programming club(Co-founder & President)

    Valedictorian

Courses

  • AP Calculus BC

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  • AP Chemistry

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  • AP Computer Science A

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  • AP Computer Science Principles

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  • AP Macroeconomics

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  • AP Physics 1

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  • AP Physics C: Mechanics

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  • AP Spanish Language and Culture

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  • AP Statistics

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  • Applied Matrix Methods

    CME103

  • Computer Organization and Systems

    CS107

  • Deep Learning

    CS230

  • Linear Algebra

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  • Mathematical Foundations of Computing

    CS103

  • Multivariable Calculus

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  • Practical Unix

    CS1U

  • Programming Abstractions

    CS106B

  • Standard C++ Programming

    CS106L

  • The Wireless World, and the Data You Leak

    EE26N

Projects

  • A Recurrent Neural Network for Neurons: Continuous Decoding of Intracortical Brain Signals for BMI Applications

    Brain Machine Interfaces (BMI) are becoming feasible clinical treatments for paralyzed patients. Using only thought, patients are able to move robotic arms with increasing precision and dexterity. This project builds on existing linear methods to continuously decode a 192-dimensional binary neural signals into 2-dimensional X-Y positional coordinates.

    A quick summary of the network architecture. We utilized a series of LSTM cells, where each cell took an input feature vector of 192…

    Brain Machine Interfaces (BMI) are becoming feasible clinical treatments for paralyzed patients. Using only thought, patients are able to move robotic arms with increasing precision and dexterity. This project builds on existing linear methods to continuously decode a 192-dimensional binary neural signals into 2-dimensional X-Y positional coordinates.

    A quick summary of the network architecture. We utilized a series of LSTM cells, where each cell took an input feature vector of 192 elements. The output of each cell was then passed through 2 fully connected ReLU layers to reduce the output to a size 2 element vector.

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    See project
  • Parsing Lecture Videos by Theme

    Utilizing Python, this project timestamps and links each specific theme to an appropriate section within the video.
    Using Houndify audio to text API, it converts the audio of the lecture video to a JSON object while marking the time by inputing markers to signify every few seconds. Then using Natural Language Processing, it segments the the video into themes. After the JSON is parsed, it uses the markers within each string to estimate the location within the video. Therefore allowing…

    Utilizing Python, this project timestamps and links each specific theme to an appropriate section within the video.
    Using Houndify audio to text API, it converts the audio of the lecture video to a JSON object while marking the time by inputing markers to signify every few seconds. Then using Natural Language Processing, it segments the the video into themes. After the JSON is parsed, it uses the markers within each string to estimate the location within the video. Therefore allowing students to easily find specific lecture material.

    Other creators

Languages

  • Spanish

    Limited working proficiency

  • English

    Native or bilingual proficiency

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