Ruoqi Zhang

PhD Student | Reinforcement Learning | Diffusion Models @ Uppsala University

Greater Uppsala Metropolitan Area

About

As a dedicated PhD student at Uppsala University, I'm on track to complete my doctorate in Machine Learning by 2025, following a robust Master's in Computer Science. My tenure as a Teaching Assistant allowed me to refine core competencies in instructional design, presentations, and development programs, all while contributing to the educational journeys of over 200 students in cutting-edge fields like AI and Reinforcement Learning. My recent role involved meticulously guiding student projects and enhancing learning experiences through personalized feedback and support. This not only bolstered my communication skills but also solidified my commitment to fostering an inclusive and collaborative academic environment. I look forward to leveraging these experiences to enrich the team at Uppsala University with diverse perspectives and a shared passion for the transformative power of education in technology.

Experience

  • Visiting PHD Student at Aalto University
    Oct 2024 - Present · 1 yr 9 mos

    Visiting Professor Dominik Baumann leading Cyber-physical Systems Group (https://baumanndominik.github.io/research_group/) at Aalto University. Mainly focus on safe exploration in offline RL and offline-to-online RL scenarios.

  • PHD Candidate at Uppsala University
    Sep 2020 - Present · 5 yrs 10 mos

    My research focuses on Reinforcement Learning (RL) and Automatic Control, particularly in diffusion models in RL and addressing how control could assist RL and uncertainty in RL.

  • Teaching Assistant at Uppsala University
    Nov 2019 - Feb 2020 · 4 mos

    - Assist in conducting laboratory sessions and tutorials for more than 200 students - Engage in grading assignments and providing constructive feedback to enhance student learning. Address and resolve student queries related to course material, fostering a supportive learning environment. - Supervise and guide student projects, ensuring adherence to academic standards and timely completion. - Teaching courses: Artificial Intelligence, Statistical Machine Learning, Reinforcement Learning, Algorithms and Data Structure, Programkonstruktion och Datastrukturer, Imperative & Object-Oriented Programming Methodology