Forecasting Cataract Prevalence in the United States Based on Race: A Data-driven Analysis for 2030, 2040, and 2050.pdf

Poisoning Attack Defense and Gradient-Shaping Implementation in Python.pdf

Financial Forum Future: Comparing and evaluating ChatGPT’s performance giving financial advice using Reddit questions and answers.pdf

AI/ML-Driven Climate Resilience: Mitigating Climate Change Challenges Through Data Science and Machine Learning.pdf

Discussing Applications of Machine Learning for Sleep Pattern Dynamics.pdf

Exploring The Etiology of OCD With Women’s Health: A Literature Review.pdf

Summer 2023 Roster

Eilan Tang
Sathvik Samant
Aditya Dhar
Selma Emekci
Azra Emekci
Rohan Dash
Rhea Cherukuri
Sai Anupama Suresh
Kriti Mishra
Meera Patil

* For the purposes of protecting student work and copyrights, we have only posted the first page of their papers above. Any inquiries about student papers can be directed to admin@marvelprogram.com.

The research program teaches students how to design research questions and implement projects to answer them. Students will work on projects that integrate data science with other fields such as biology, economics, social sciences, political science, or any other field of interest. The program also includes college planning workshops and guest lectures by Columbia professors. By participating in this program, students will create publish-worthy, novel projects. Class sessions will be split into lectures in the first half and time for work in the second half.
(recorded classes will be made available for students who have existing time conflicts that are shared with the instructors)

Prerequisites: Basic data science knowledge & python programming knowledge

Instructor(s): Shreya Kochar & Andrew Wang

Guest lecture dates: TBD