Dylan Edward Moore

TA for Dartmouth

I was a TA for the Thayer course ENGM 191, Product Design and Development.

Dartmouth Digital Health Summit Third Place Award

My research was selected as a feature for the 2023 Dartmouth Digital Health Summit. Of the selected projects, this was awarded Third Place.

Storytelling and AI workshops in Berlin and Yerevan

With my sister, Sophia Moore, over the summer of 2022 I taught workshops in Berlin, Germany and Yerevan, Armenia, for high school age students. Our students created an interactive chatbot-based game. In the game, you navigate through a narrative by making choices for the characters. Over the course of the adventure, you explore the city of Yerevan and go on missions that involve learning topics in the field of artificial intelligence.

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Millett G. Morgan Fund Fellow

I was named the 2022 Millett G. Morgan Fund Fellow.

Guarini School Alumni Research Award

I was a 2022 recipient of the Guarini School Alumni Research Award.

More info on the alumni award

CompX Faculty Grant

My advisor, Professor Elizabeth Murnane, and I were awarded a 2022 Dartmouth CompX Grant to develop children's AI literacy through play-based educational games. I used this grant to help fund my team of undergraduate and Masters students.

Our proposal

More info on the CompX Grant

Armenian Professional Society Scholarship Award

I was awarded the APS 2021 Scholarship for academic merit and service to the Armenian community.

Innovation PhD Candidate at Dartmouth's Thayer School of Engineering

I am a second year PhD candidate in Professor Elizabeth Murnane's Empower Lab.

Full Time Software Engineer at YouTube

I worked at YouTube, within Google, from March, 2021 through August, 2021. I was a SWE on the Paid Digital Goods team. During my time at YouTube, I was part of the small (a dozen person sized) team that implemented the "Super Thanks" feature, which allows users to directly financially support creators on all YouTube videos (provided creators enable the feature and the video is legally eligible for monetization). I worked primarily on the web frontend (TypeScript with Polymer) and backend (Python and C++).

More info on "Super Thanks"

Full Time Software Engineer at Lark

I worked at Lark Health from October, 2018 to February, 2021. During my first year, I was one of only two mobile developers. Since I joined, the company has tripled in headcount. In 2020, we raised an additional $70 million in Series C funding.

The Company
Lark is the world's largest A.I. healthcare provider, we service patients suffering from or at risk of chronic disease with A.I. Nurses. In early 2020, our user base dramatically increased with the announcement of partnerships with Highmark, United, and Anthem. As of my departure, Lark served millions of patients.

My Role
I worked primarily on the mobile team but also spend time on user research and backend projects. My focus was on

1. Modernizing the eng stack to meet the demands of exponential user growth and
2. Developing features that improve the user experience.

My Work
• I am experienced in TypeScript, React Native, Node.js. I also work in Java, Android, iOS, devops & AWS infrastructure, and Python.
• I implemented Bluetooth and cellular device integrations
• I created a node microservice for server side UI rendering (using functional programming best practices —e.g. fp-ts).
. I separated our front-end business logic from the UI code for modularity and better testability.
• I was responsible for migrating our native codebases to React Native.
. I actively promoted functional programming best practices internally (via a study group + code reviews)

In addition to engineering and user research,
• I represented our company during a 2 quarter mentorship program at Stanford
• I was actively involved in hiring decisions and gave 100+ engineering interviews, across many levels of positions and domains.

Fung Fellowship Mentor

I developed a partnership between the Fung Fellowship entrepreneurship and innovation program at U.C. Berkeley and Ability Hacks. Through my role as a sponsor mentor, I advised two teams of students who developed technology to help people with visual impairments navigate city environments.

More info on the Fung Fellowship

TUMO Self-Learning Initiative Curriculum Planning Advisor

Over the summer of 2021, I served as an expert advisor for planning the AI + CS curriculum of an ambitious new TUMO initiative. The goal of this project is to create a fast track for the upskilling of young Armenian professionals seeking to join industry. This project was sponsored by the European Union for Armenia, among other major organizations.

More info on the Initiative

NavCog Project + Ability Hacks

With AbilityHacks, I do HCI research and engineering work to build solutions to disability-related challenges. Currently, I am leading the continuation of the NavCog project. NavCog started in CMU’s Cognitive Assistance Laboratory and was passed off to AbilityHacks in 2020.
The project's goal is to build an app for indoor navigation, aimed specifically at helping people with visual impairments explore the world without vision.
I initiated a partnership between AbilityHacks and CS + Social Good at Stanford and will be mentoring students again as a non-profit partner representative this Winter and Spring quarters.

More info on Ability Hacks

CMU NavCog Documentation

Chatbots for Interactive Storytelling

Inspired by Code in Place and the Smart Primer project, I designed and taught a month long course for Armenian high schoolers. The course was sponsored by the TUMO program and had a mixed focus on narratology and software engineering. Students first learned the elements of storytelling, then went on to create their own choose-your-own-adventure style chatbots. Students built a Telegram chatbot server using TypeScript, Node.js, and functional programming best practices. The students then converted their narratives into a logic graph that could be parsed by their custom storytelling engine. My sister, Sophia Moore, who studies English and Gender and Women's Studies at UC Berkeley, was a huge help in making this project a success by giving lectures and leading a writing workshop.

Course recap + student final presentations

Storyteller engine (example project from our course)

Stanford CS + Social Good Mentor

I was Lark’s representative for a two quarter design studio at Stanford, CS + Social Good. I mentored students on d.school techniques and how to build impactful technical projects.
To follow up on the success of this 2020 class, I recently organized a partnership between AbilityHacks and CS + Social Good and will be returning as a mentor for this coming (2021) Winter and Spring quarters.

My challenge statement for the students

More info on CS + Social Good

COVID-19 Code in Place Section Leader

I was a section leader (TA) for Stanford’s Code in Place course. This was a free, open enrollment version of Stanford’s intro to CS course that was specifically tailored for the circumstances of the COVID-19 pandemic.

Stanford Competitive Running Club

I was a founding member and a leader of the Stanford Running Club. I’ve been actively involved in the Stanford running community since 2012 and have competed in many events including national club championships (NIRCA), iron man triathlon, and hundred mile relays.

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.

Yerevan student presentation

Yerevan course overview video

Yerevan course trailer

Course summary

About TUMO

Google Software Engineering Internship

I designed and implemented Ad Extensions as an intern on the Google Adwords Team.

Stanford Teacher's Assistant

I was a TA at Stanford for nine quarters during college and received the Stanford Teaching Honors Award in 2017. See the links below for more information on each of the courses that I've staffed.

CS181: Computers, Ethics, and Public Policy

CS147: Introduction to Human Computer Interaction Design

CS221: Graduate Level Introduction to Artificial Intelligence

CS109: Probability for Computer Scientists

CS106B: Programming Abstraction

CS106A: Programming Methodology

Google Software Engineering Internship

I upgraded a data pipeline for Google OneBox as an intern on the Google Knowledge Graph Team.

PayPal Software Engineering Internship

I designed and implemented a dashboard and other internal tools as an intern on the Core Payments Team.

Archaeology Research at Chavín de Huántar

I was 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.

My photographs

About Chavín de Huántar

Business Association of Stanford Entrepreneurial Students (BASES)

I was the BASES E-Challenge Coordinator in 2014. In this role, I planned a $150k startup competition.

Stanford Class President

I was elected as a Junior class president. In this role I attended administrative meetings and planned campus wide events, such as our class formal on a boat and Stanford Full Moon on the Quad.

Facet: An emotionally sensitive, accessible corporate meeting assistant

Corporate meetings are notoriously inefficient and often biased. My CS210 senior project team confirmed this through rounds of user research at large software companies, where "too many inefficient and biased meetings" was a frequent complaint. To address the problem, we built Facet, a smart assistant that facilitates and analyses corporate meetings. Facet ran meetings through an Alexa app and recorded and aggregated video and audio data. We worked with our sponsor company, VMWare, to gather data from many meetings over a period of three months.
In addition to being a smart assistant, Facet provided management with useful analytics and aggregated insights from meeting data. My teammates and I measured and correlated team social dynamics to team OKR outcomes. Our interface synthesized the collected data to identify constructive/harmful trends and patterns of bias.
As Facet became a more analytics focused project, we investigated if employees would perceive it as intrusive. Our finding was that Facet needed to be obviously successful in its immediate function, i.e. as a smart assistant, for users to feel comfortable adopting it.
Class Project Award winner, Pejman and Mar (Pear VC) Award winner.

Management interface screenshots

Live video analysis proof of concept

Alexa app contract of deliverables

Adversarial Examples for NLP Contexts

My colleague and I present two methods of generating adversarial examples for an NLP task. We introduce a new loss function for training word vectors in a CBOW model. This was our CS221 and CS224N class projects.

Paper

Presentation

Smart Primer: Revolutionize Education with Artificial Intelligence

I did early work under Dr. James Landay on the Smart Primer Project, a tablet-based intelligent tutoring system for kids that leverages compelling narratives, intelligent tutoring chatbots, real-world activities, and a child’s physical and educational context.

Smart Primer homepage

Video tagging using frame captions

My team extended state of the art CNN image captioning techniques to a video tagging task. This was our CS229 class project

Paper

Presentation

Finding protests in social media

My team used CNNs to identify protest images on Chinese social media that are likely to be censored. This was our CS224N class project

Paper

Presentation

"Can you take my photo?"

A lightweight guidance system that helps a stranger capture the perfect shot, a CS376 class project

Paper

Presentation

Creativity boosting environments in cars

Research in collaboration with the Volkswagen Automotive Innovation Lab at Stanford on increasing creativity during daily commuting, with Dr. Elizabeth Murnane and Dr. James Landay. This project investigated how intelligent in-car agents can engage with drivers and passengers to guide creative activities and elicit novel ideas, in an effective, enjoyable, and safe manner.

Documentation

Finding harmonics in plasma

I found 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

Developing sustainable Amazon ecotourism

I did 60+ hours of interviews with experts and members of Quechua and Waorani tribes in the Amazon basin and cloud forests of Ecuador. This research was supported by Stanford BOSP and Dr. Margaret Fuller

My photographs

Research recommendations

Makani Power (now Google X) Internship

I helped manufacture high altitude wind turbines and self-guided kites. I used SolidWorks and operated tools in the CAD workshop.

A general game playing agent

My team made 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. This was a CS227b class project.

Documentation

Visuomotor Learning: Object Classification

My team made 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. This was a CS230 class project.

Paper

Pensieve

My team made an app for sharing memories with loved ones at specific moments. This was a CS247 class project.

Documentation

Presentation

Connect Four game with AI opponent

This is my freshman year entry for the 2013 CS106B class Recursion Competition, it was awarded the Grand Prize.

Github project link

Stanford Change Labs: Designing a water catchment system for rural India

I did mechanical engineering and 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.

About The 100L Water Project