About Me
I am a quantitative researcher working in Europe and am a recent grad of Northwestern University. My research spans foundation models for robotics, signal processing, and computational fluid methods. I've also designed satellite systems and aircraft wings, including projects for NASA and the U.S. State Department. I welcome opportunities to collaborate on interesting research & engineering projects.
Skills
Experience
Education
Courses Highlights
- Programming
Python
C/C++
MATLAB
PyTorch/TensorFlow
Git
R
Mathematica - Robotics
Machine Dynamics
Control & Feedback Systems - Mechanical Engineering
CAD(SolidWorks, Onshape)
Active Learning - Languages
English
Japanese
Chinese
Arabic
German(Intermediate)
- Feburary 2026-
Qube Research & Technologies (QRT) Quantitative Research Analyst - June-August 2025-
PanAgora Asset Management Quant Research Intern - March 2024-
Aggelos Image and Video Processing Lab Junior Researcher - June 2024- Aug. 2024
Citigroup Quant Analysis Intern - Sept. 2023-
Northwestern Athletic Tutor - June - Aug. 2023
Summer Research Award 2023: Investigating Quincke Particles Electrohydrodynamics - Sept. 2022-Jan. 2023
Undergraduate Researcher @ Buffett Institute of Global Affairs - June 2021-Aug. 2021
Summer Intern @ Y-Sapix Global Alpha - June 2021-Aug. 2021
Private Tennis Coach @ YC&AC
- September 2021 - December 2025
Northwestern University M.S. Computer Science - September 2021 - June 2025
Northwestern University B.S. Applied Mathematics - Septmeber 2017 - June 2021
Deerfield Academy - August 2020 - December 2020
King's Academy - August 2007 - June 2017
Singapore American School
- Computer Science
CS 111: Imperative Programming
CS 213: Computer Systems
CS 214: Data Structures & Algorithms
CS 310: Scalable Software Architecture
CS 349: Machine Learning
CS 449: Deep Learning
CS 497: Deep Learning for NLP - Engineering
MECH_ENG 314: Lagrangian Dynamics
MECH_ENG 455: Active Learning for Robotics
MAT_SCI 314: Thermodynamics
MAT_SCI 315: Phase Equilibria & Diffusion of Materials
MECH_ENG 233: Electronics Design
DSGN 240, 321: Advanced Solid Modeling
ELEC_ENG 222: Signals and Systems
ELEC_ENG 395: Adaptive Signal Processing
ELEC_ENG 360: Feedback & Control Systems
- Applied Mathematics
ES_APPM 311: Partial Differential Equations
ES_APPM 312: Complex Analysis
ES_APPM 322: Dynamical Systems
ES_APPM 346: Modeling and Computation in Science & Engineering
ES_APPM 495: Network Science & Social Systems
IEMS 202: Probability
IEMS 303: Statistics
IEMS 304: Statistical Learning & Regression
IEMS 490: Large Foundation Models
