Education
Massachusetts Institute of Technology | Ph.D. Electrical Eng. & Computer Science
Yale University ‘21 (Fall ‘20 Grad) | B.S. Physics & Mathematics | GPA: 3.92
Stuyvesant High School ‘17 | Physics Lover | Unweighted GPA: 96.1
Relevant Coursework | materials | school |
---|---|---|
Physics | ||
Noise, Dissipation, & Info (Graduate) | Paper | Yale |
Quantum Info & Computation (Graduate) | Paper | Yale |
Qiskit Global Summer School | Certificate | IBM |
Quantum Many-Body Theory (Graduate) | Guide, Letter | Yale |
Solid-State Physics II (Graduate) | Guide | Yale |
Light-Matter Interactions (Graduate) | Paper | Yale |
Thermodynamics & Stat. Mech. | Yale | |
Optics with Applications (Graduate) | Paper | Yale |
Quantum Mechanics I, II | Guide | Yale |
Semiconductor Devices | Guide | Yale |
Electromagnetic Fields & Optics | Guide | Yale |
Advanced Physics Lab | Papers | Yale |
Quantum & Nanoscale Physics | Yale | |
Advanced Classical Mechanics (Graduate) | Guide | Yale |
Quantum Information Science I | Certificate | MITx |
Computer Science | ||
Data Mining & Machine Learning (Graduate) | Yale | |
Deep Learning Specialization | Certificate | Coursera |
Sequence Models | Certificate | Coursera |
Convolutional Neural Networks | Certificate | Coursera |
Structuring Machine Learning Projects | Certificate | Coursera |
Hyperparameters, Regularization & Opt. | Certificate | Coursera |
Neural Networks & Deep Learning | Certificate | Coursera |
Intensive Algorithms | Yale | |
Data Structures | Yale | |
Graphics | Stuyvesant | |
Systems Level Programming | Stuyvesant | |
Mathematics | ||
Complex Analysis | Paper | Yale |
Stochastic Processes (Graduate) | Yale | |
Abstract Algebra | Yale | |
Vector Calculus & Linear Algebra I, II | Yale | |
Discrete Mathematics | Yale | |
Linear Algebra (ranked top 4) | Letter | NYU |
Differential Equations | Stuyvesant | |
Multivariate Calculus | Stuyvesant | |
Knots & Manifolds | Columbia SHP | |
Miscellaneous | ||
Game Theory | Yale | |
Microeconomics | Yale |