Eegan Ram
Hi! I'm Eegan, I study and conduct research in physics at Stanford. My work primarily focuses on quantum information and molecular simulation problems. I currently work with Stanford Chemistry's Martinez Group. I also work on a variety of projects involving medical imaging, science education, and making cool things in LaTeX. I spend my free time speedcubing, biking, advocating for public transit, and exploring the Bay Area. Feel free to reach out!
I've worked on a variety of research in the last few years. The full catalog is in my CV, but here's some interesting ones!
I'm currently working on reinforcement learning algorithms for the Ab Initio nanoreactor (a molecular dynamics simulation based on the principles of quantum chemistry).
Positron Emission Tomography (PET) devices used for tasks from neuroscience to oncology have become increasingly important yet complex in recent years. Traditional methods for determining the randoms (noise) in PET data often rely on hardware-based approaches that can be costly and inflexible in modern PET systems. My work focuses on developing new algorithms for estimating randoms with new and interesting statistical methods. In the process, I developed a large codebase of infrastructure for performing simulations in the GATE framework (based on Geant4, software used at CERN for particle physics simulation).
Simulating molecular systems, in particular finding the ground states of molecules, poses a challenge for complex molecules that quantum algorithms are well equipped to solve. Can you find the ground state of a molecule by teaching an RL agent to play a game on its graph states? As it turns out, you can! You can read my paper on it here. It won a top 10 presentation award at the Research Science Institute (RSI) in 2023, and a Davidson Fellowship in 2024.
| 2024-2028 | BS, PhysicsStanford University · GPA 4.1 |
| 2020-2024 | Dual Enrollment (During HS)UNR · QM Coursework |
| 2025 | Finalist, Boothe Prize at Stanford (Best First-Year Writing) |
| 2024 | Davidson Fellow ($25k Scholarship for Quantum Computing Research, 20 selected) |
| 2023 | Research Science Institute Encore Presentation (Top 10) |
I've worked on various teaching and education related projects. I brought back Stanford Quantum High School, a quarter long course for high school students on quantum computing, in 2025 after a hiatus with an all new curriculum which I designed. You can see a sample of the course materials here. I've also taught a few Stanford Splash classes on quantum computing and medical imaging.