Hi, I'm Poonam! ππ½πΆβπ«οΈππ½
I'm a coterminal master's student currently pursuing a BS in Mathematics and a MS in Computer Science (Artificial Intelligence Specialization) at Stanford University. I research in Michael Bernstein's social computing lab, mentored by PhD student Michelle Lam. I'm interested in building flexible systems that accomodate and empower unique user preferences. In my free time, I enjoy making Spotify playlists, going to the gym, and collecting postcards.
Contact me at poonamsahoo@stanford.edu or on LinkedIn!
Projects
Experience
Currently:
- Serving as a Course Assistant for CS 278: Social Computing (Spring 2026)
Previously:
- Interning at Notion Labs as a Data Science intern on the Go to Market Data Science team (Winter 2026)
- Serving as a Course Assistant for CS 224W: Machine Learning with Graphs (Fall 2025)
- In South Korea to present a demo of my research at UIST 2025!
- Interned at Reddit on the Ads Data Science team and built an end to end framework for predicting and backtesting user lifetime value using a Markov Chain model
- Worked at Stanford's Asian American Activities Center as a Facilities Manager (2024-2025)
- Researched a communication tool to help speakers and educators with many-to-one audience understanding. Under submission!
- Interned in quantitative finance at Goldman Sachs (Quant Strats) and Belvedere Trading (Junior Quantitative Trading Analyst)
- Served as a Residential Student Leader for the Okada House
- Learned all about AI via NYU Courant Institute's Pathways to AI Program
- Co-authored some papers on applied mathematics and bias in social media
- Led a team initiative to create the first publicly available geospatial election dataset for the state of Nebraska
Research
Coming soon...