Jeremy Warner

I am a Research Scientist at Apple.

I completed my CS PhD in 2023 at UC Berkeley.

Research areas: HCI, graphics, computer vision.

[Email] [CV] [GitHub] [Twitter] [Google Scholar]

Thesis: Enhancing Visual Media Through Reflection and Recomposition
Committee: Björn Hartmann (advisor), Alexei Efros, Marti Hearst, Valentina Shin
Groups: Berkeley AI Research Lab and the Berkeley Institute of Design

• 
  Interactive Flexible Style Transfer for Vector Graphics
  Jeremy Warner, Kyu Won Kim, Björn Hartmann
  Details / PDF / UIST 2023


• 
  Interactively Optimizing Layout Transfer for Vector Graphics
  Jeremy Warner, Shuyao Zhou, Björn Hartmann
  Details / PDF / ICML AI-HCI Workshop 2023


• 
  SlideSpecs: Automatic and Interactive Presentation Feedback Collation
  Jeremy Warner, Amy Pavel, Tonya Nguyen, Maneesh Agarwala, Björn Hartmann
  Details / PDF / IUI 2023


• 
  Graph Kernel Correspondences for Vector Graphics
  V. Shin, J. Warner, B. Hartmann, C. Gomes, H. Winnemoeller, W. Li
  Details / PDF / GI 2021


• 
  ElectroTutor: Test-Driven Physical Computing Tutorials
  Jeremy Warner, Ben Lafreniere, George Fitzmaurice, Tovi Grossman
  Details / PDF / UIST 2018


• 
  WiFröst: Bridging the Gap for IoT Debugging
  W. McGrath, J. Warner, M. Karchemsky, A. Head, D. Drew, B. Hartmann
  Details / PDF / UIST 2018


• 
  Hack.edu: Student Perceptions of College Hackathons
  Jeremy Warner and Philip J. Guo
  Details / PDF / ICER 2017


• 
  CodePilot: Scaffolding Online Novice Developer Collaboration
  Jeremy Warner and Philip J. Guo
  Details / PDF / CHI 2017

Grad Coursework

• Computer Vision Efros/Malik
• Computer Graphics Kanazawa/Ng
• Learning for 3D Vision Kanazawa
• Computational Photography Efros/Kanazawa
• Human Computer Interaction Paulos
• Interactive Device Design Hartmann

Mentoring

• Susan Lin Summer 2023
• Sauhard Jain Summer 2023
• Matthew Lee Summer 2023
• Shuyao Zhou Jacobs Design Scholar
• Angela Zhang Design Correspondences
• Frederick Kim Visual Design Style Transfer
• Tonya Nguyen SlideSpecs, now PhD @ Berkeley

Teaching

• DI 202 · Technology Design Foundations (GSI) 2021
• CSC 160 · UI Design and Development (Head GSI) 2017, 2020
• CSC 169 · Software Engineering (Head GSI) 2019
• ECE 112 · Intro to Logic Design (TA) 2013, 2014, 2015
• ECE 230 · Electromagnetic Waves (TA) 2014

Awards

• Google-BAIR Commons Research Grant (info) Spring 2023
• UC Berkeley EECS Departmental Fellowship Spring 2022
• Outstanding Reviews (3x for CHI 2021-23 Papers) Spring 2023
• Highly Useful Reviews (2x for UIST 2022 Papers) Spring 2022
• NSF Graduate Research Fellowship (HM) Spring 2017
• UR · Barnard Engineering Award Spring 2015
• Phi Beta Kappa Honor Society Spring 2015
• IEEE National PES Scholarship Fall 2014
• Tau Beta Pi Honor Society Fall 2013

Service

• Program Committee, ICML AI/HCI Workshop (info) 2023
• Organizing Committee, ACM UIST Conference 2023
• Feature Editor, ACM XRDS Student Magazine 2019
• Volunteer, ACM SIGCHI Executive Committee 2018
• Reviewer, ICML Conference 2023
• Reviewer, ACM CHI Conference 2018—24
• Reviewer, ACM UIST Conference 2018—23
• Reviewer, ACM CSCW Conference 2019—20
• Reviewer, ACM Creativity & Cognition 2017, 22
• Student Volunteer, ACM IUI Conference 2023
• Student Volunteer, ACM CHI Conference 2017

Updated Oct 2023