Ahad Jawaid

Hi, I'm Ahad Jawaid.

I'm a builder, engineer, and scientist who believes in humanity's ability to solve any problem.

Some important problems I'm interested in solving:

  • Space colonization via self-replicating autonomous robots (working on this)
  • The user interface problem via brain-computer interfaces
  • All diseases (including aging) via biotech

If you're interested in collaborating, chatting about these problems, or funding me, reach out at .

Research

Offline RL with Hierarchical Action Chunking (HiQC)

Ahad Jawaid

RLC 2026 and LIT @ ICLR 2026 Workshop

TL;DR: Hierarchical goal-conditioned offline RL: latent planning plus action chunks and chunk-conditioned critics for deeper backups and long-horizon OGBench performance.

PaperWebsitePoster

OpenEgo: A Large-Scale Egocentric Manipulation Dataset

Ahad Jawaid, Yu Xiang

Physical Inc

TL;DR: A large-scale egocentric dataset and framework for learning dexterous manipulation skills from human demonstration videos.

PaperWebsiteAnnouncementGitHub

StyleMoE: Style-Aware Mixture of Experts for Expressive TTS

Ahad Jawaid, Shreeram Suresh Chandra, Junchen Lu, Berrak Sisman

Audio Imagination @ NeurIPS 2024

TL;DR: A mixture-of-experts approach that partitions the style space of reference speech, letting expert routers specialize for more expressive style-transfer text-to-speech.

PaperWebsite

Projects

Experience

  1. Founder · Physical Inc

    Sep 2025 – Dec 2025
  2. Software Engineer · Amazon Web Services (AWS)

    May 2025 – Aug 2025
  3. Founder · Lumid Labs

    Jan 2025 – Present
  4. Researcher · Intelligent Robotics and Vision Lab, UT Dallas

    May 2024 – Present
  5. Researcher · Speech and Machine Learning Lab, UT Dallas

    Aug 2023 – May 2024
  6. Software Engineer · Amazon

    May 2023 – Aug 2023

Awards

  • 2025TAMUHack 2025, Best Design
  • 2024Jonsson School Undergraduate Research Award
  • 2024TAMUHack 2024, Best Use of AI in Education
  • 2023HackUTD 2023, 1st place in Patient Safety Challenge
  • 2022HackUTD 2022, 3rd place in CBRE Challenge
  • 2022WeHack 2022, 3rd place in Toyota Challenge

Teaching

Workshops

ML Mondays

  • Week 1: Introduction to ML MondaysVideoMaterials
  • Week 2: Introduction to Deep Learning, Part 1VideoMaterials
  • Week 3: Introduction to Deep Learning, Part 2VideoMaterials
  • Week 4: Training and Deploying a ML ModelVideoMaterials
  • Week 5: Computer VisionVideoMaterials
  • Week 6: Introduction to Natural Language ProcessingVideo
  • Week 7: Natural Language Processing, TransformersVideo
  • Week 8: Introduction to Reinforcement LearningVideo
  • Week 9: Reinforcement LearningVideo