Newark, DE
Ph.D. in Computer Science
University of Delaware
- Connected and Autonomous Research Lab (CAR), advised by Prof. Weisong Shi.
CV
Ph.D. Candidate in Computer Science
Qiren Wang
Ph.D. candidate in Computer Science at the University of Delaware with 4+ years of research and engineering experience, seeking Applied Scientist, Research Scientist, or Machine Learning Engineer roles in autonomous driving, physical AI, computer vision, and foundation models. My work spans perception, VLMs/VLAs, multimodal and agentic AI, and real-world deployment, including vehicular systems, a released driving dataset, medical image segmentation, and industry internship experience.
Education
New Brunswick, NJ
M.Sc. in Data Science, Statistics Track
Rutgers University
Albany, NY
B.Sc. in Computer Science
University at Albany, SUNY
Chongqing, China
B.Sc. in Software Engineering
Chongqing University of Posts and Telecommunications
Working Experiences
Princeton, NJ
ML Research Intern
CHDI Foundation · Internship
New York, NY
Software Engineer Intern
TS Imagine, formerly Imagine Software · Internship
- R&D Group
China
Software Engineer Intern
iFLYTEK Co., Ltd. · Internship
Chengdu, Sichuan, China
Data Scientist Intern
Sefonsoft · Internship
Chengdu, Sichuan, China
Software Engineer Intern
良坤科技 Liangkun Tech · Internship
Research Interests
Autonomous Driving: Safety, perception, motion prediction, and edge-assisted intelligent driving systems.
Vision-Language Models and Vision-Language-Action Models: Multimodal reasoning for autonomous driving and embodied AI.
LLM Agents: Trustworthy agentic systems for decision-making and situational awareness.
Federated Learning: Efficient and scalable model training across heterogeneous edge devices.
Research Experiences
Newark, DE
New York City Metropolitan Area
Research Assistant
Rutgers University-New Brunswick · Part-time
- Vivian’s Lab
Technical Skills
ML/AI Engineering: Python, PyTorch, TensorFlow, NumPy, pandas, scikit-learn, Machine Learning, Deep Learning, Computer Vision, Foundation Models (LLM/VLM/VLA), Agentic AI, RAG, Statistical Learning, Time Series Modeling
Software Engineering: Java, C++, R, JavaScript, Node.js, PHP, SQL, HTML, CSS, React, npm, RESTful APIs, Selenium3
Tools & Hardware: CUDA, ROS2, Docker, Git, AWS, Google Cloud, MySQL, Oracle, Redis, MongoDB, VS Code, NVIDIA Jetson