I'm Sergio Eraso, a physicist who likes turning hard, messy problems into models you can actually compute with. I'm currently a PhD researcher in the Department of Physics at MIT (Dean of Science Fellow), advised by Mehran Kardar, working on nonequilibrium statistical physics and biophysics.

My research is about how simple, local rules give rise to predictable large-scale behavior in living systems — from bacterial swarms to expanding populations. Day to day, that means mathematical modeling, stochastic simulation, and statistical inference: building models, running them on clusters, and pulling signal out of noisy data. I care a lot about explaining that work clearly, to fellow researchers and to students seeing it for the first time.

I'm increasingly interested in applying these skills beyond academia — on problems in industry where modeling, simulation, and data turn uncertainty into decisions. If that overlaps with what you're working on, I'd love to chat.

Background

• Ph.D. in Physics, MIT — 2023–present (Dean of Science Fellow)
• B.S. in Physics & Mathematics, Emory University — 2019–2023, magna cum laude
• Study abroad, Yonsei University, Seoul (2022)

Toolkit

• Programming: Python, Julia, Mathematica, LaTeX; NumPy, SciPy, matplotlib, multiprocessing, Git
• Modeling & simulation: stochastic processes & SDEs, Fokker–Planck and master equations, Monte Carlo, dynamical systems
• Statistics & computation: statistical inference, maximum-likelihood estimation, hypothesis testing, simulated annealing, genetic algorithms
• Languages: Spanish (native), English (fluent), Korean (basic)

Beyond research

I serve as a graduate-student representative on the MIT Physics Education Committee and on the executive board of the MIT Latino Graduate Student Association, and I mentor students through the MIT Directed Reading Program.

Get in touch

The best way to reach me is by email. You can also find me on GitHub and LinkedIn.