Experience

Machine Learning Research Intern — SEED Electronic Arts

Vancouver, Canada · Summer 2025

  • Built a panoramic data capture and annotation pipeline combining depth, multi-view video, and LLM scene understanding.
  • Fine-tuned diffusion models with text, style reference, and depth conditioning to deliver seamless 360° sequences.

Machine Learning Research Scientist — Netflix Eyeline Studios

Remote · Contract Part-time · Fall 2024 — Spring 2025

  • Directed controllable AI video generation research for production teams, focusing on style fidelity and editability.
  • Partnered with supervisors and producers to translate show requirements into model evaluation criteria.

Machine Learning Research Intern — Netflix Eyeline Studios

Vancouver, Canada · Fall 2023 — Fall 2024

  • Prototyped co-speech gesture generation models aligned with speech content, performer emotion, and stylistic cues.
  • Curated a multimodal dataset pairing audio, text, facial performance, and motion capture for expressive character work.
  • Explored style transfer pipelines to adapt expert motion capture to lower-skill performances with minimal data.

Machine Learning Research Engineer — Pars Cognition

Tehran, Iran · Fall 2017 — Spring 2019

  • Delivered mental health analytics tools with interdisciplinary teams spanning neurology, psychology, and AI.
  • Designed machine learning services that transform multimodal client assessments into actionable wellness insights.
Payam Jome-Yazdian

SFU logo ROSIE Lab logo MARS Lab logo

pjomeyaz@sfu.ca
(778) 251-4174

Ph.D. Candidate · Research & Teaching Assistant
Simon Fraser University
Vancouver, Canada

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