CS + Econ @ JHU. Interested in AI, math, and building things that matter.
I'm a CS + Econ student at Johns Hopkins, with minors in Applied Mathematics & Statistics, and Financial Economics (maybe computational medicine too?).
I'm passionate about building projects/research/startups with tech that have the potential to help people. I like to view technology in terms of its beauty but also the impact it can have on people.
I am currently working on CS and econ research at Johns Hopkins. I am building Delineo (working with WHO to simulate and stop diseases), researching causal inference in empirical studies through the BDP research fellowship, helping build BlueJay programming language, and working on an upcoming NLP project.
Aside from research and software engineering, I love creating community of people who love CS and econ as much as I do. Fall 2025: Starting Data Science Club @ JHU, VP @ HopAI, Secretary @ WiCS and Treasurer @ SWE. When I'm not working on a structured projects, I like learning for fun (currently learning: language modeling).
A selection of my recent work in AI, web development, and data science
Working with WHO and Ruvos to make a disease modelling platform that can demonstrate the spread of diseases at a small town level with different interventions. Presented at JHU Design Day and DREAMS, won Dean's Design Award in Computer Science. Read more here.
Advisors: Dr. Anton Dahbura, Dr. Kimia Ghobadi
Using unspervised learning models (clustering, double machine learning) to answer causal interference based questions using disease modeling (eg: how much does an intervention help?).
Advisors: Dr. Anton Dahbura, Dr. Kimia Ghobadi
Received a $6000 award to work on analysing and categorizing causal inference in empirical economics studies. Analyzed hundreds of papers. Explored different mathematical techniques to infer causal relationships.
Advisor: Dr. Paul Ferraro (Bloomberg Distinguished Professor)
Working with JHU Programming Languages lab, to develop and test a new sematically typed programming langueg: BlueJay. BlueJay is a novel language with a semantic type checker for bug finding.
Advisors: Dr. Scott Smith, Brandon Stride (grad student)
Working to explore whether LLMs can do causal reasoning tasks about health and environmental scenarios.
Launched the Data Science Club at JHU as Club President and made a website for it. Our mission is to give students the skills and opportunity to work on impactful data projects.
Made at HackMIT with Sutharsika, Jane, and Sunny.
AI agent pulls data about companies and makes a graph, then a prediction algorithm forecasts company performance.
Academic & Industry Research
Academic Support & Mentoring
Building Community & Mentoring