General Information

Name Jonathan Zamora
Research Interests Deep Reinforcement Learning, Robotics, Computer Vision, Machine Learning
Current Interests 3D Scene Representations for Robot Manipulation, Language-Guided Robotics


  • 2020-2023
    B.S. in Computer Science
    University of California San Diego
    • Advised by Prof. Xiaolong Wang
    • Graduate Coursework: 3D Computer Vision (ML Meets Geometry)
    • Undergraduate Coursework: Deep Learning, Computer Vision, AI Search and Reasoning, Statistical NLP, Computer Graphics, CSE Honors Thesis, Intro to CS Research, Algorithms, Advanced Data Structures, Statistical Methods

Honors and Awards


  • 11/21-Current
    Robot Learning Researcher
    Xiaolong Wang Lab, University of California San Diego
    • I work at the intersection of machine learning and robotics to solve challenging problems in the area of robot manipulation
    • I have participated in the McNair Scholars Program and CAMP Scholars Program at UCSD under Prof. Xiaolong Wang's supervision
  • 06/21-11/21
    Natural Language Processing (NLP) Researcher
    Intelligence and Knowledge Discovery (INK) Lab, University of Southern California
    • I worked on commonsense reasoning for text generation with Large Language Models (LLMs)
    • I participated in the USC Summer Undergraduate Research Experience (SURE) Program at USC under Prof. Xiang Ren's and Peifeng Wang's supervision
  • 01/21-11/21
    Computer Vision Researcher
    Advanced Robotics and Controls Lab, University of California San Diego
    • I built a semantic segmentation benchmarking framework for laparoscopic surgical scene understanding
  • 10/20-06/21
    Computer Vision Researcher
    Berg Lab, University of California San Diego
    • I worked on a historical document transcription pipeline with convolutional neural networks (CNNs)
    • I participated in the CSE Early Research Scholars Program (CSE ERSP) at UCSD under Prof. Taylor Berg-Kirkpatrick's supervision
  • 05/20-12/21
    Cancer Bioinformatics Researcher
    GenePattern Team, Mesirov Lab, University of California San Diego
    • I developed a cancer tumor analysis pipeline for GenePattern, a software package used by 500,000+ researchers worldwide
  • 01/20-08/20
    Machine Learning Researcher
    System Energy Efficiency Lab, University of California San Diego
    • I developed a working epileptic seizure detection model using logistic regression
    • I participated in the Google Explore Computer Science Research (ExploreCSR) Program under Anthony Thomas's suprvision


Workshop Presentations

  • 2022
    Graph Inverse Reinforcement Learning from Diverse Videos
    Sateesh Kumar, Jonathan Zamora*, Nicklas Hansen*, Rishabh Jangir, Xiaolong Wang
    • Deep RL Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2022. Poster.
    • Aligning Robot Representations with Humans at Conference on Robot Learning (CoRL), 2022. Poster.
    • arXiv, project page


  • 08/19-12/20
    Computer Science Tutor
    Computer Science/Info Systems Open Lab, Grossmont College
    • Assisted 400+ students in all core lower-division CS courses
    • Courses include Data Structures in Java and C++, Systems Programming, Python, SQL, Programming Logic, and Discrete Structures


  • Technical Languages: Python, R, SQL, C++, Java, MATLAB, Swift, LaTeX
  • Frameworks: PyTorch, Tensorflow, Scikit-Learn, OpenCV, OpenAI Gym, MuJoCo
  • Tools: Docker, Kubernetes, SLURM, Git, Bash, Unix/Linux
  • Spoken Languages: Spanish (Native), English (Native)