Summary
Kiel Dang is a PhD candidate at the State University of New York at Albany, specializing in Trustworthy AI and Privacy-Preserving Technologies with a focus on strengthening the security, privacy, and robustness of large language models. He operates at the intersection of academia and industry as a Graduate Research and Teaching Assistant and AI Researcher at Responsible AI Lab, developing practical privacy-preserving and adversarial-robustness frameworks for real-world AI systems. His industry experience spans Senior Data Scientist roles at Hitachi Vantara and data science and modeling work at Definity, along with leadership in e-commerce analytics at Alibaba and Vinamilk, where he built data models, dashboards, and decision-ready analytics. An active communicator of AI insights, he contributes ML content at Medium and maintains a portfolio and GitHub presence (kirudang) to showcase his work. Based in New York, Kiel combines rigorous academic training (MS in Data Science from Northeastern, PhD track at Albany) with hands-on product and research impact, including a hackathon-winning OCR/LLM project.
3 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, 4.0/4.0, Doctor of Philosophy - PhD, Artificial Intelligence, 4.0/4.0 at University at Albany
Master's degree, Data Science - Machine Intelligence, 4.0/4.0, Master's degree, Data Science - Machine Intelligence, 4.0/4.0 at Northeastern University
Bachelor's degree, International Business, 83.58%, Bachelor's degree, International Business, 83.58% at Foreign Trade University
English, Japanese, Vietnamese