David Fan

David Fan Email and Phone Number

Facebook AI Research (FAIR Labs) | Princeton CS @ Meta
David Fan's Location
New York, New York, United States, United States
David Fan's Contact Details

David Fan work email

David Fan personal email

n/a

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About David Fan

I am passionate about advancing the state-of-the-art in AI research and making technology more accessible to the masses. My research has been published at CVPR (CVPR is ranked #4 of all publications by Google Scholar), ICCV, and ICLR. At Prime Video, I work primarily on video/multimodal representation learning with a long-term vision of cracking the "long"-video understanding problem. I believe this entails both learning better representations as well as lowering the cost of temporal reasoning. My notable production work includes: 1) Prime Video automated advertisement insertion at scene boundaries, 2) semantic-knowledge graph for efficient zero-shot metadata classification at catalog scale, 3) visual-search for carousel recommendations, and 4) content moderation and compliance models. Prior to Amazon, I graduated magna cum laude from Princeton University with a B.S.E in computer science in 2019. Outside of work, I am passionate about non-profit engagement. I served for two years as the youngest President of the Princeton Club of Seattle where I led an alumni network with 2000+ members. I am the co-founder of Princeton University Science Olympiad tournament which has been featured by Scientific American and hosts 800 students free-of-charge annually since 2016. During college, I also directed HackPrinceton which is a hackathon that hosts 1000+ students per year.I am both a force-multiplier individual contributor as well as people leader with the ability to balance short-term and long-term thinking. I have first-hand experience with building large organizations from the ground up, as well as working effectively within established frameworks. My life's ambition is to empower people to do their best work and strive to be better versions of themselves.

David Fan's Current Company Details
Meta

Meta

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Facebook AI Research (FAIR Labs) | Princeton CS
David Fan Work Experience Details
  • Meta
    Senior Research Engineer
    Meta Jul 2024 - Present
    Menlo Park, Ca, Us
    Research at Meta Fundamental AI Research (FAIR Labs) into self-supervised learning and video representations.
  • Asian American Scholar Forum
    Advocate
    Asian American Scholar Forum Jan 2024 - Present
    I helped coordinate the first-ever Youth Ambassador for Science short video competition for the Asian American Scholar Forum, which is a non-profit dedicated to advancing academic freedom and advocating for Asian American causes. This video competition helped honor several distinguished Asian American scientists who may not be household names, despite their enormous contributions to society.
  • Amazon
    Applied Research Scientist Ii
    Amazon Oct 2023 - Jul 2024
    Seattle, Wa, Us
    - Trained 1B param multimodal foundation model with large-scale vision-language-audio pretraining. Out- performs OpenAI CLIP by 25% on internal zero-shot classification and retrieval benchmarks.- Launched automated video advertisement insertion (CEO-level goal) with novel video segmentation model.- First-author paper accepted to ICCV 2023 (25% acceptance rate). Developed novel motion-guided masking algorithm for video masked autoencoders that achieves new state-of-the-art by 5% on popular benchmarks, while requiring up to 3x less training time. https://arxiv.org/abs/2308.12962
  • Amazon
    Applied Research Scientist
    Amazon May 2021 - Sep 2023
    Seattle, Wa, Us
    - Founding member for a new research team within Prime Video.- Developed embeddings for visual search and recommendation which outperform baseline recsys by 5%.- Designed transformers with multimodal fusion for automated content moderation and compliance.- [ICLR 2023 first author] Developed nearest-neighbor positive sampling for video contrastive learning that improves state-of-the-art in video action recognition. Mentored research intern to full-time offer. First author paper accepted to ICLR 2023 workshop: https://arxiv.org/abs/2303.07317- [CVPR 2021] Developed self-supervised method for scene boundary detection that improves state-of-the-art by 13% even compared to fully-supervised methods, while reducing data labeling requirements by 75% and improving inference time by 84%.- Paper accepted to CVPR 2021. https://arxiv.org/abs/2104.13537
  • Amazon
    Research Engineer
    Amazon Jul 2020 - May 2021
    Seattle, Wa, Us
    - Founding member / first hire for a new science team within Prime Video.- Developed multi-node multi-GPU distributed PyTorch training code base with video-specific decoding libraries and augmentations. - Managed compute infrastructure for larger org of 30+ ICs- Created end-to-end automated PyTorch model Dockerization workflow.- Converted to Applied Scientist without PhD.
  • Amazon
    Machine Learning Engineer
    Amazon Aug 2019 - Jul 2020
    Seattle, Wa, Us
    Launched GPU-slicing service (similar to Exafunction) for low-cost PyTorch inference on AWS SageMaker. Authored two AWS blog posts.Reduced inference latency by up to 70% via mixed precision, TensorRT optimization, and optimizing data loading.
  • Princeton Club Of Western Washington
    President
    Princeton Club Of Western Washington Oct 2021 - Oct 2023
    Seattle, Washington, Us
    Served as the president of 2,000+ Princeton alumni living in the greater Seattle area. I maintained connections with the university through conducting alumni interviewing, and organized 10+ social and professional events to engage alumni in the greater Seattle area during my tenure, including a 200-person cruise. Founded in 1967, The Princeton Club of Western Washington is a registered 501(c)(3) whose mission is to engage as many regional alumni as possible in the ongoing life of the University, and to build a network for meaningful personal and professional relationships.
  • Princeton University
    Undergraduate Researcher @ Vision And Learning Lab
    Princeton University Sep 2018 - Jul 2019
    Princeton, Nj, Us
    Developed an annotation framework for collecting dense 3D ground truth from sparse annotations on web images. Collected OASIS, a dataset for single-view 3D with an order of magnitude more data and new tasks than previous datasets. Benchmarked SOTA depth estimation and surface normal estimation hourglass networks.Paper accepted by CVPR 2020. Senior thesis won department prize.
  • Princeton University
    Undergraduate Grader
    Princeton University Feb 2019 - May 2019
    Princeton, Nj, Us
    Grader for COS 445: Economics and Computing
  • Princeton University Science Olympiad
    Cofounder
    Princeton University Science Olympiad Aug 2016 - May 2019
    Founded undergraduate group on campus which organizes and hosts the annual Princeton University Science Olympiad Invitational tournament. As director in 2016-2017, I led an organizing team of 8 undergraduates, 100+ undergraduate volunteers, and managed a budget of $10K. In 2017, we hosted 36 teams from across the country. I am now advising the group as director emeritus. This year's tournament will host 48 teams, including several ranked in the top 15 nationally, and is the first collegiate tournament to waive all participation fees. Our website is at https://scioly.princeton.edu
  • Amazon Web Services
    Software Engineering Intern
    Amazon Web Services Jun 2018 - Aug 2018
    Seattle, Wa, Us
    Aurora is a distributed cloud-native relational database. Developed production cluster service for automated ticket resolution in Aurora. Wrote tool for enabling/disabling autoscaling policies and provisioning IOPS on pre-prod clusters.The Aurora development team won the 2019 ACM SIGMOD Systems Award.
  • Hackprinceton
    Director
    Hackprinceton Sep 2016 - Apr 2018
    Princeton, New Jersey, Us
    HackPrinceton is Princeton's biannual hackathon, which hosts over 1200 students from across the world each year. Twice a year, students have the opportunity to build amazing software + hardware hacks, work with industry mentors, and make friends with other passionate students. I led a team of ~30 undergraduates and managed a combined budget of nearly $150,000.Our website is at https://hackprinceton.com
  • Princeton University
    Machine Learning Grader
    Princeton University Sep 2017 - Nov 2017
    Princeton, Nj, Us
    Graded assignments for COS 324 (Machine Learning) - taught by Elad Hazan and Yoram Singer.
  • Phosphorus
    Software Engineering Intern
    Phosphorus May 2017 - Aug 2017
    New York, Ny, Us
    - Placed in agile engineering team as one of 30 students in Princeton Startup Immersion Program, selected from 300+ applicants.-Redesigned management portal and implemented custom UI/UX components in admin dashboard using Wicket and Scala.-Created distributor preference/permission scoping model in Scala, Spring Boot, Hibernate, and Postgres SQL.-Helped configure elastic load balancers and auto scaling groups on AWS, and wrote Cloud Formation Templates.
  • Princeton University
    Undergraduate Grader
    Princeton University Sep 2016 - Jan 2017
    Princeton, Nj, Us
    Graded assignments for COS 126: General Computer Science.
  • Harvard Medical School
    Research Intern
    Harvard Medical School May 2016 - Jan 2017
    Boston, Ma, Us
    Participant in the 2016 HST Summer Institute in Biomedical Informatics.Developed web tool for visualizing geographic trends in AETNA insurance and US census data using R and MySQL. Applied tool to plot diabetes and BRCA incidence rates as proof-of-concept.Contributed to open-source client-side web application for performing standard bioinformatic analyses such as quality control, filtering, hierarchical clustering, principal component analysis, differential expression analysis and gene set enrichment testing - entirely in the browser. Integrated and refactored code for FASTQ alignment and quantification from BrowserGenome.Pending publication.
  • Rutgers New Jersey Medical School
    Genetics Research
    Rutgers New Jersey Medical School Jul 2014 - Mar 2015
    Newark, Nj, Us
    Researched genetic mechanisms of aging in Drosophila fruit flies, specifically the effects of the Ras•GTP-Raf-MEK-ERK signaling pathway on organismal and organ senescence. Conducted lifespan and stress (starvation, oxidative and heat) assays on flies with transgenes expressing varied levels of Rpd3 protein in the heart tissue. I also conducted heartbeat measurements on flies throughout various stages in their lifespan to analyze heart-function decline with age.
  • Rutgers University–New Brunswick
    Physics Research
    Rutgers University–New Brunswick Jun 2013 - Sep 2013
    New Brunswick, New Jersey, Us
    Explored symmetry-breaking phase transitions in multiferroic material (specifically rare-earth hexagonal manganites). Polished and depth-profiled these materials to image their topological defect distribution. This work led to a paper published in Nature Physics.As a side project I also conducted high-temperature resistivity measurements on novel rare-earth copper titanates using a two-probe method to characterize their ferroelectric transition temperature.

David Fan Skills

Python Java Machine Learning Computer Vision Deep Learning Pytorch Leadership Data Science R Tensorflow Public Speaking Fundraising Event Planning Matlab Science Mysql C Go Functional Programming X86 Assembly Verilog Structural Analysis 3d Modeling Microsoft Office Ocaml

David Fan Education Details

  • Princeton University
    Princeton University
    Statistics And Machine Learning
  • Montgomery High School
    Montgomery High School
  • New Jersey Governor'S School Of Engineering And Technology
    New Jersey Governor'S School Of Engineering And Technology

Frequently Asked Questions about David Fan

What company does David Fan work for?

David Fan works for Meta

What is David Fan's role at the current company?

David Fan's current role is Facebook AI Research (FAIR Labs) | Princeton CS.

What is David Fan's email address?

David Fan's email address is fa****@****zon.com

What is David Fan's direct phone number?

David Fan's direct phone number is +190839*****

What schools did David Fan attend?

David Fan attended Princeton University, Montgomery High School, New Jersey Governor's School Of Engineering And Technology.

What skills is David Fan known for?

David Fan has skills like Python, Java, Machine Learning, Computer Vision, Deep Learning, Pytorch, Leadership, Data Science, R, Tensorflow, Public Speaking, Fundraising.

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