Vassiliki Mancoridis
- Program Year: 1
- Academic Institution: Massachusetts Institute of Technology
- Field of Study: Environmental Science
- Academic Advisor: Cesar Terrer
- Practicum(s): Practicum Not Yet Completed
- Degree(s):
B.S.E. Computer Science, Princeton University, 2024
Summary of Research
Vassiliki Mancoridis is pursuing an SM/PhD degree in Civil and Environmental Engineering at the Massachusetts Institute of Technology. She is interested in studying environmental systems and climate solutions through the lens of technology. In the past, her research has applied deep learning and statistical methods to topics ranging from ocean wave dynamics to methane plume detection. Her PhD research will focus on the terrestrial carbon cycle, with an emphasis on nature based climate solutions.Publications
Princeton independent work papers:(1) A Physics-Constrained Deep Learning Investigation of Wind-Wave Interactions
(2) Leveraging Physics-Informed Neural Networks to Enhance Chemical Kinetics Models
Princeton senior thesis paper:
From Molecules to Climate Solutions: Exploring the Spider Neural Network Architecture for Representing Interacting Graphs
I gave oral presentations to culminate research internships at the following institutions:
(1) NASA Jet Propulsion Laboratory
(2) Memorial Sloan Kettering Cancer Center
(3) High Meadows Environmental Institute at Princeton University
I presented my research with the NASA Jet Propulsion Laboratory at the American Geophysical Union Annual Meeting 2023 (AGU23). My poster was titled: Leveraging Airborne Data to Enable Spaceborne Methane Plume Detection via Model and Data Driven Approaches.
Awards
1. Tau Beta Pi HonorsThis is given to the top Engineering students at Princeton (top 1/8 of juniors by GPA). I was also elected President of Tau Beta Pi by its members, illustrating my commitment to service and Engineering. In this role, I organize tours of the Engineering school and chapter ceremonies for >100 members.
2. CS Outstanding Independent Work
This award is given to the best independent work (research) project by an undergraduate in Princeton's Computer Science department every semester. I received it for my Fall 2022 research project on physics-informed neural networks for ocean turbulence models.
3. HMEI Summer Research Award
This award is given by Princeton to a student completing an exceptional research project on environmental topics with HMEI. I was given this award for my 2020 summer project focused on a statistical analysis of Atlantic cod population fluxes.
4. Paideia Scholarship 2019
I was given this scholarship to support my academic pursuits at Princeton. This scholarship is given to the top student demonstrating the Greek concept of Paideia, or a love of learning; I received it for my academic excellence and independent pursuit of learning.