I am currently a Master's student at Georgia Tech, studying Computer Science with a concentration in Machine Learning on the thesis track, supported by the NSF Graduate Research Fellowship. I research self-supervised learning methods and their applications in neuroscience at the BrainML@GT Lab advised by Prof. Anqi Wu.
Before this, I was at UC Berkeley where I double majored in Computer Science and Cognitive Science.
I was a Machine Learning Co-op at WHOOP, and I've interned at NASA Glenn Research Center, Multiply Labs, and OpenBCI.
I am interested in machine learning, biologically inspired artificial intelligence, and exploring the computational and neural underpinnings of cognition. Alongside my academic pursuits, I'm passionate about teaching and committed to expanding access and equity in STEM education.
Outside of my academic interests, I enjoy playing live music, running, drawing, and reading. I am currently trying to read one book from every country in the world. If you have any recommendations, please do send them my way :)
Updates
- Section Leader for Stanford Probability for AI.
- Awarded the NSF Graduate Research Fellowship!
- Started as a Machine Learning Co-op on the Sensor Intelligence Team at WHOOP, working on foundation models for physiological sensor data.
- Started my M.S. in Computer Science at Georgia Tech, doing research at the BrainML@GT Lab advised by Prof. Anqi Wu.
- Returned as a TA for AddisCoder in Addis Ababa, Ethiopia.
- Section Leader for Stanford Code in Place.
- Taught data structures and algorithms to high school students through the free intensive summer program AddisCoder in Addis Ababa, Ethiopia. A beautiful summer!
- Graduated from UC Berkeley with a B.A. in Computer Science (Honors) and Cognitive Science.
- Published Transient Optimization of an Electrified Gas Turbine Engine Using Machine Learning with NASA Glenn.
- Won the Apple-sponsored Outstanding Project Award for my RISC-V CPU.