Helen Tan
My Experience
EDUCATION
Bachelor's Degree
Autumn, 2020 - Present

The University of Chicago
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Major: Computer Science, Astrophysics
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GPA: 3.6
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Activities: UChicago TechTeam (project leader), CompileHer (comms lead), Code Your Dreams, Ryerson Astronomical Society
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Honors: Jeff Metcalf Fellowship Award, National Science Foundation Project Collaborator, GHC 23 Scholar
WORK
Project Leader
Autumn, 2023​
Software Engineer Intern
Summer, 2023
Data Engineering Intern
Spring, 2023​
Software Engineer Intern
Winter, 2022​




I lead and tutor a team of 10 to develop a centralized database system and an automatic data update mechanism for a non-profit organization in Chicago. See the ongoing project in Github
I designed and developed the Trending Map feature, a geographical-based content recommendation system. I presented my result in front of the entire Engineering org of the company. See my work Trending Map in projects
I joined the team to collaborate closely with scientists and labs. My work includes the development, containerization, and deployment of a recurring ETL data pipeline to process and merge genetic information for ML training.
Propaga
1 joined the engineering team to build a web service that allows 500+ Latin America corner store owner to digitalize their transaction.
RESEARCH
ML Student Researcher
Summer, 2022​
Research Intern
Summer, 2021


Fermi National Laboratory, Computation Branch
I joined Deep Skies Lab and worked in Dr.Brian Nord's research group on a ML + Astro research project.
I built a data pipeline to create and store galaxy cluster mass data with Monte Carlo Method; applied ResNet and other ML methods with Tensorflow to predict the mass of galaxy clusters from Compton y-parameter of the Sunyaev-Zeldovich effect. See more in "Galaxy Cluster Dataset Generator" in projects section.​
Peking University, KIAA
I modeled and visualized correlation of key galactic parameters with Jupyter Notebook and Python to studying galaxy formation and evolution.