Hi! I'm Hieu

Years ago, I planned to become an astronaut and play football on the moon. Time passed, plans changed. I am now working on data and policy with a dream of changing something for good.

I am a Master’s student in Computer Science and Public Policy at the University of Chicago. Here, I am studying a mixture of statistics, algorithms, and machine learning. My current academic focus is machine learning in cancer risk prediction and inference by carefully analyzing multimodal data and utilizing efficient embeddings/feature extraction methods. Here is my latest project on this subject: A Deep Learning Multimodal Approach to Survival Risk Prediction in Kidney Cancer Patients (code and paper).

My long-term goal is to leverage data science to drive rigorous data-driven decisions that improve social and health outcomes. Here is my resume.

I have gained extensive experience in Python and SQL through:

• Teaching assistantships at UChicago:
  • CAPP 30254: Machine Learning for Public Policy
  • MPCS 51042: Python programming
  • CAPP 30122: Computer Science with Applications 2
• Problem-solving on LeetCode and Advent-of-Code puzzles
• Practice with real-world data/machine learning problems in Kaggle competitions.

Before graduate school, I worked for a non-profit organization focused on child affairs and development in Vietnam, in database programming and program evaluation, where I learned a lot about civic technology.

If you’d like to chat, feel free to reach out via my LinkedIn or doanquanghieu.nguyen [at] gmail.com.