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 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.
Experience
Education
Skills
Course Highlights
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Programming
Python C/C++ MATLAB PyTorch/TensorFlow Git R Mathematica
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Robotics
Machine Dynamics Control & Feedback Systems
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Mechanical Engineering
CAD (SolidWorks, Onshape) Active Learning
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Languages
English Japanese Chinese Arabic German (Intermediate)
- February 2026- Qube Research & Technologies (QRT) Quantitative Research Analyst
- June-August 2025 PanAgora Asset Management Quantitative Research Intern
- January 2025-July 2025 MAGICS Lab Junior Deep Learning Researcher
- March 2024- Aggelos Image and Video Processing Lab Junior Deep Learning Researcher
- June 2024-Aug. 2024 Citigroup Inc Mortgage Quantitative Analysis Intern
- June-Aug. 2023 Quincke Particles Electrohydrodynamics Summer Research Researcher
- Sept. 2022-Jan. 2023 Buffett Institute of Global Affairs Undergraduate Researcher
Additional Experience
- Sept. 2023- Northwestern Athletics Tutor
- June 2021-Aug. 2021 Y-Sapix Global Alpha Summer Intern
- June 2021-Aug. 2021 Yokohama Country & Athletic Club (YC&AC) Private Tennis Coach
- September 2021 - December 2025 Northwestern University Master of Science in Computer Science
- September 2021 - June 2025 Northwestern University Bachelor of Science in Applied Mathematics summa cum laude
- September 2017 - June 2021 Deerfield Academy
- August 2020 - December 2020 King's Academy
- August 2007 - June 2017 Singapore American School
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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
