I’m a fourth year undergraduate in computer science and mathematics at Columbia University. I’m a researcher at the Columbia Data Science Institute, a teaching assistant in the Columbia Math and CS departments, and a classical musician with the Columbia Music Performance Program. This past summer I worked at the NASA Jet Propulsion Laboratory.
I am interested in machine learning, artificial intelligence, programming languages, and classical music. I am one of the authors of the Coral programming language and compiler, as well as the Titan simulation library.
Internships
- Machine Learning and Software Engineering Intern at the NASA Jet Propulsion Laboratory (May 2019 - August 2019)
- Built the NASA GPU Data Visualization library for processing and analyzing NASA climate data using GPUs.
- Winner of the 2019 NASA Data Visualization and Storytelling Competition Grand Prize for the data visualization and machine learning work.
- Machine Learning Researcher at the Columbia Data Science Institute (May 2018 - Present)
- Studied self-replication in artificial intelligence and machine learning, including self-replicating deep neural networks and their potential applications to biology and AI.
- Currently writing several papers on our state of the art results.
- C++ and CUDA Software Engineer at the Columbia Creative Machines Lab (May 2018 - September 2018)
- Created the Titan Simulation Library, an NVIDIA CUDA-based library which outperforms all existing CPU-based implementations on spring/mass physics simulations.
- Applied the library to robotics and evolutionary algorithms problems throughout the lab.
- Undergraduate Researcher at the Columbia Plasma Physics Laboratory (May 2017 - Present)
- Writing software which performs computational simulations of stellarator fusion reactors in C++, Python, and FORTRAN, and designing circuits for the main reactor field coils in LTSpice (and, god forbid, on a breadboard).
- Writing a Python API for large segments of the Princeton Plasma Physics Laboratory (PPPL) FORTRAN VMEC library, and implementing custom optimization software for finding plasma volume extrema.
- Using Labview and C to write real-time control software for stabilizing high currents in the stellarator field coils.
- Research Assistant in the Barnard Chemistry Department (Fall 2015 - Present)
- Mass spectrometry, florescent microscopy, and computational data analysis in a biochemistry/neurochemistry setting.
- Trained a neural network to perform clustering and colocalization analysis on florescent microscopy samples of mice brain tissue.
- Analyzed and sanitized data in R and Pandas.
Other Experience
- Teaching Assistant, COMS 4771 Machine Learning, MATH 3027 Ordinary Differential Equations, MATH 3028 Partial Differential Equations.
- Aerodynamics and Software Team Lead for the Columbia Space Initiative (CSI) NASA high-efficiency flight challenge team. 1st Prize Winner for the 2017 NASA Langley aircraft design competition.
- Member of the Columbia Society of Physics Students (SPS), and computation fluid dynamics (CFD) and computer aided design (CAD) instructor at Columbia.
- Classical pianist and chamber musician, who has performed at Carnegie Hall and Symphony Space in NYC.