My name is Adam, and I recently graduated from Stanford with a B.S. in computer science. I’m broadly interested in various fields of computer science including machine learning and computer security. I’m most passionate about the use of technologies to create an impact and improve society. I like to spend my free time reading and listening to podcasts, with some of my favorite topics being economics and US healthcare policy. If you’d like to connect, please reach out to adampahlavan at gmail dot com.
The rest of this page contains a truncated resume. To see a most recently updated one, please see my LinkedIn.
- Assistant Instructor and Tech Support, Programming for Data Science Research, Summer STEM Institute (SSI)
- Course Assistant, Introduction to Cryptography (CS 255), Stanford School of Engineering
- Computer Vision Research Intern, Applied Deep Learning Research (ADLR) Team, NVIDIA
- Data Scientist Intern, Aperio Data Science Team, Point72
- Software Engineer Intern, Aquabyte
- Verifiying the Adversarial Robustness of Neural Networks to White Box Attacks [paper, poster]
- NeuralHash: An Adversarial Method for Robust, Imperceptible Watermarking [paper, poster]
- Grant Winner, Emergent Ventures, George Mason University (2020)
- Grant Winner, Biodesign NEXT, Stanford School of Medicine (2020)
- Grand Award (Healthcare) and Most Technical Project, Stanford Treehacks Hackathon (2019)
- Top Final Project in Stanford’s graduate-level and well-known CS 231n (600+ students; 2018)
- 1st Place Proposal, BASES Social Impact Consulting Case Competition, Stanford University (2017)