Dylan E. Moore

D e s i g n e r + E n g i n e e r

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Bio

I am a recent graduate of Stanford University with a Master's and Bachelor's degree in computer science.

I specialize in Human Computer Interaction (HCI) and have academic and industry experience with design, software engineering, and machine learning.

My interests include computer science education, artificial intelligence, and narrative content.

Portfolio

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Full Time Software Engineer at Lark

I have been working at Lark Health since October 2018 on the mobile team. I work on Android, iOS, and React Native.
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TUMO: one month of teaching AI workshops

I designed and taught two intensive AI workshops for high schoolers in Yerevan and Beirut. We focused on minimax search, neural networks, and style transfer.
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Google Software Engineering Internship

Designed and implemented Ad Extensions with the Google Adwords Team.
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Google Software Engineering Internship

Upgraded data pipeline for Google OneBox, on the Google Knowledge Graph Team.
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PayPal Software Engineering Internship

Designed and implemented a dashboard and other internal tools on the Core Payments Team.
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Archaeology Research at Chavín de Huántar

Employed as a Stanford researcher on a small team that located a buried 2,500+ year old ceremonial chamber at a UNESCO World Heritage site in the Andes of Peru. I did 700+ hours of field and lab work.
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Makani Power (now Google X) Internship

Helped manufacture high altitude wind turbines and self-guided kites. Primarily used SolidWorks and operated tools in the CAD workshop.
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Facet: An emotionally sensitive corporate meeting assistant

A multifaceted assistant (Amazon Alexa voice assistant + video analysis + web interface) that helps keep corporate meetings on track. The product also aggregates discussion topics, sentiment, and emotional data from meetings for management—to help pinpoint effective behavior patterns. A CS210 Senior Project with sponsorship from VMWare. Class Project Award winner, Pejman and Mar (Pear VC) Award winner.
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Adversarial Examples for NLP Contexts

We present two methods of generating adversarial examples for an NLP task, and also introduce a new loss function for training word vectors in a CBOW model. A CS221 and CS224N class project
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Smart Primer: Revolutionize Education with Artificial Intelligence

Early work with Professor James Landay on the Smart Primer Project: an interactive, narrative-based tutor that combines some of the best features of both physical and electronic based learning methods.
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Video tagging using frame captions

Extending state of the art CNN image captioning techniques to a video tagging task, a CS229 class project
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Finding protests in social media

Using CNNs to identify protest images on Chinese social media (which are frequently censored), a CS224N class project
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"Can you take my photo?"

A lightweight guidance system that helps a stranger capture the perfect shot, a CS376 class project
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Creativity boosting environments in autonomous cars

Ongoing user research in collaboration with the Volkswagen Automotive Innovation Lab at Stanford on increasing creativity during daily commuting, with Elizabeth Murnane and Professor James Landay
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Finding harmonics in plasma

A predictive model for standing wave patterns in plasma, based on data from my high speed photography of neon signs. A Third Place Project at the Intel International Science and Engineering Fair and winner of an American Vacuum Society Award and a Full Tuition Scholarship to Drexel University
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Developing sustainable Amazon ecotourism

60+ hours of interviews with experts and members of Quechua and Waorani tribes in the Amazon basin and cloud forests of Ecuador. Footage is still being edited into a short film. Sponsored through Stanford BOSP and Professor Margaret Fuller
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A general game playing agent

A Java prop net GGP player with performance boosts from factoring and latches. This program made it to the semifinals of the end of year class competition. A CS227b class project
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Visuomotor Learning: Object Classification

A CNN for Amazon's robotic arm pick-and-place task. Our model can use large amounts of generated data (multiple camera angles, many scenes) and is intended to boost the performance of existing models on the actual task via transfer learning. A CS230 class project
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Pensieve

An app for sharing memories with loved ones at specific moments, a CS247 class project
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Connect Four game with AI opponent

Freshman year entry for the 2013 CS106B class Recursion Competition. Awarded The Grand Prize
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Stanford Change Labs: Designing a water catchment system for rural India

Mechanical engineering + design research with The 100 Liter Water Project at Stanford Change Labs. My focus in this project was on designing a sun-tracking solar panel power supply.
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Web based call center with audio transcription

Functional prototype for a Twilio based call center. Makes and transcribes calls.
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Platform for creating, manipulating and visualizing multidimensional shapes

Freshman year entry for the 2012 CS106A class Graphics Competition. Awarded The Grand Prize
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Rally: A social network for staying active

A mobile web app for people to connect with friends and plan activites. A CS147 class project

Contact

  • If you're interested in any of the projects here or would like to get in touch,
  • shoot me an email at dylan (at) cs.stanford.edu, thanks!