About

Current Job

• Motion Planning Engineer at Uber ATG (R&D self-driving).

  • Area of Focus: C++, Trajectory Optimization, Inverse Reinforcement Learning

Past Experiences

• Machine Learning Engineer at Uber ATG (R&D self-driving).

  • Area of Focus: Python, Simulation for Deep Learning

• Startup Founder of Ikigai, a computational drug-discovery company for neurodegenerative diseases.

  • Results: Accepted to YCombinator Summer 2018

• Staff Scientist, Neurogenomics Laboratory Carnegie Mellon University

  • Results: Developed deep learning software pipeline to understand epigenetics of Alzheimer’s.

Education

• BA in Mathematics, Swarthmore College (2016)

For Potential Collaborators and Employers

Think of this blog as a portfolio for my technical work. Here are some of my strengths.

• Applied Math: I have interests in optimization and machine learning. These interests are reflected in some blog posts (DDP, LQR, variational inference, taylor series).

• Software Engineering: I program in python and C++. My software engineering abilities are reflected in (software for ML systems, komorebi).

• Domain Knowledge: I have domain knowledge in self-driving cars and computational biology for Alzheimer’s disease.

I’m always interested in hearing about interesting opportunities. I prefer to be contacted via LinkedIn.