Ph.D. Student in Computer Science
I’m a Ph.D. student at MIT, where I work under the supervision of Justin Solomon. My research seeks to empower people with reliable and effective ways to solve geometry processing problems.
I am the recipient of two MathWorks Fellowships, a Google Fellowship and a MIT Distinguished Fellowship. Before coming to MIT, I graduated cum laude with a bachelor’s degree in mathematics at the University of California, Los Angeles.
In my spare time, I enjoy watching telenovelas (what am I watching now?) and pretending to be a great chef in my home kitchen.
I'm interested in understanding problems in geometry processing through the lens of partial differential equations (PDE). My goal is to make PDE-based methods robust and flexible enough that users can apply them with confidence and reliability, without being constrained by technical barriers. By bridging mathematical theory and the goal of usability, I aim to open new avenues for animation, design, and simulation, where advanced PDE techniques become natural extensions of a user’s creative process.
Leticia Mattos Da Silva, Silvia Sellán, Natalia Pacheco‐Tallaj,
Justin Solomon
ACM SIGGRAPH 2025
Project Page
Paper
Code is coming soon!
Leticia Mattos Da Silva, Silvia Sellán, Francisco Vargas,
Justin Solomon
Under Peer Review
Project Page
Paper
Leticia Mattos Da Silva, Oded Stein, Justin Solomon
ACM Transactions on Graphics (presented at SIGGRAPH 2024)
Project Page
Paper
Silvia Sellán, Jack Luong, Leticia Mattos Da Silva, Aravind Ramakrishnan, Yuchuan Yang, Alec Jacobson
ACM Transactions on Graphics
Project Page
Paper
Code
Leticia Mattos Da Silva
Eurographics Symposium on Geometry Processing (SGP)
Course Page
Slides
Video
By Adam Zewe
June 6, 2025
By Alex Shipps
August 28, 2024
By Rachel Yang
November 30, 2021
Ph.D. students like me typically are the day‐to‐day mentors for UROPs in our lab. If you are a student interested in doing a UROP with me, please read this page for more information before emailing me.
Fall 2025: Not available.
Spring 2026: Contact me via email (before Dec. 2025).
I'm our lab's "local expert on nonlinear PDE and other problems in the dynamical universe." We can jointly figure out a research direction in this area, but here's an example of a UROP project we could work on together — it is quite open‐ended!
Overview. The Schrödinger Bridge Problem (SBP) seeks to steer an initial probability distribution of a linear stochastic system to a terminal distribution using minimal energy. In this project, we will explore a generalization of the SBP with nonlinear prior dynamics. The goal is to design a numerical solver for a pair of PDE associated with this generalization of the problem. We will then investigate using this solver in a pipeline to recover the optimal variables for the SBP. Here is a good reference to start with, if you are interested in pursuing a project in this direction.
Prerequisites. There are no requirements beyond understanding of linear algebra, but 6.8410 can be helpful.